期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到485篇文章
< 1 2 … 25 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Mixed-state Berry curvature in quantum multiparameter estimations 认领 引用
1
作者 Xiaoguang Wang Xiao-Ming Lu +2 位作者 Yunbo Zhang Libin Fu Shu Chen 《Communications in Theoretical Physics》 SCIE CAS CSCD 2026年第5期80-84,共5页
For pure states,the quantum Berry curvature has been well studied.However,the quantum curvature for mixed states has received less attention.From the concept of symmetric logarithmic derivative,we introduce a mixed-st... For pure states,the quantum Berry curvature has been well studied.However,the quantum curvature for mixed states has received less attention.From the concept of symmetric logarithmic derivative,we introduce a mixed-state quantum curvature and find that it plays a key role in the field of multi-parameter precision estimations.Through spectral decomposition,we derive the mixed-state Berry curvature for both the full-rank and non-full-rank density matrices.As an example,we obtain the exact expression of the Berry curvature for an arbitrary qubit state. 展开更多
关键词 Berry curvature Uhlmann curvature mixed states quantum parameter estimation
暂未订购 下载PDF
Off-Grid Parameter Estimation for OFDM-Based ISAC Systems with Incomplete Data and Demodulation Errors 认领 引用
2
作者 Feng Xinxin Wu Weilin +1 位作者 Ling Muyao Zheng Haifeng 《China Communications》 SCIE EI CSCD 2026年第3期199-216,共18页
In the 6G environment,addressing challenges like missing data,demodulation errors,and offgrid issues during target parameter estimation is a significant hurdle for integrated sensing and communication(ISAC)systems.In ... In the 6G environment,addressing challenges like missing data,demodulation errors,and offgrid issues during target parameter estimation is a significant hurdle for integrated sensing and communication(ISAC)systems.In the ISAC framework,a commonly used method for parameter estimation is compressive sensing.However,it often struggles with off-grid problems in continuous parameter estimation.In contrast,the atomic norm has been proven effective in overcoming these off-grid issues,making it a more suitable approach for continuous parameter estimation.In this paper,we investigate the application of atomic norm in ISAC and propose an ISAC model based on orthogonal frequency division multiplexing(OFDM)for parameter estimation.We utilize the atomic norm under conditions of incomplete data and demodulation errors.To enhance the convergence speed and accuracy of our algorithm,we implement the alternating direction method of multipliers(ADMM)for iterative processing.We refer to this algorithm as ANMI.Building on this foundation,we develop a deep unfolding network algorithm,ANMIADMM-Net,which further mitigates the impact of missing data and demodulation errors on target parameter estimation by training optimal parameters.Experimental results demonstrate that our proposed ANMI and ANMI-ADMM-Net accurately estimate target parameters even in the presence of missing data and demodulation errors,exhibiting superior precision and robustness compared to traditional methods. 展开更多
关键词 ADMM atomic norm deep unfolding networks ISAC off-grid target parameter estimation
暂未订购 下载PDF
UAV-to-Ground Channel Modeling:(Quasi-)Closed-Form Channel Statistics and Manual Parameter Estimation 认领 引用 被引量：1
3
作者 Zeng Linzhou Liao Xuewen +3 位作者 Xie Wenwu Ma Zhangfeng Xiong Baiping Jiang Hao 《China Communications》 SCIE EI CSCD 2026年第1期47-66,共20页
(Quasi-)closed-form results for the statistical properties of unmanned aerial vehicle(UAV)airto-ground channels are derived for the first time using a novel spatial-vector-based method from a threedimensional(3-D)arbi... (Quasi-)closed-form results for the statistical properties of unmanned aerial vehicle(UAV)airto-ground channels are derived for the first time using a novel spatial-vector-based method from a threedimensional(3-D)arbitrary-elevation one-cylinder model.The derived results include a closed-form expression for the space-time correlation function and some quasi-closed-form ones for the space-Doppler power spectrum density,the level crossing rate,and the average fading duration,which are shown to be the generalizations of those previously obtained from the two-dimensional(2-D)one-ring model and the 3-D low-elevation one-cylinder model for terrestrial mobile-to-mobile channels.The close agreements between the theoretical results and the simulations as well as the measurements validate the utility of the derived channel statistics.Based on the derived expressions,the impacts of some parameters on the channel characteristics are investigated in an effective,efficient,and explicable way,which leads to a general guideline on the manual parameter estimation from the measurement description. 展开更多
关键词 channel characteristics geometry-based stochastic model manual parameter estimation UAV channel modeling
暂未订购 下载PDF
Variational parameter estimation in a two-equation turbulence model:assimilation in a realistic context using satellite and in situ observations 认领 引用
4
作者 Yan Hu Wei Li +1 位作者 Lianxin Zhang Xuefeng Zhang 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2026年第4期213-224,共12页
This study presents a four-dimensional variational(4D-Var)data assimilation framework to optimize two uncertain wave-induced parameters(wave energy factor α and Charnock coefficient β)within the Mellor-Yamada level ... This study presents a four-dimensional variational(4D-Var)data assimilation framework to optimize two uncertain wave-induced parameters(wave energy factor α and Charnock coefficient β)within the Mellor-Yamada level 2.5(MY-2.5)turbulence closure scheme.The effectiveness of the optimization is then evaluated by its impact on improving sea surface temperature(SST)forecasts.This study represents one of the first attempts to estimate higher-order turbulent parameters using real observational data.As the extension of prior twin experiments,observational data are sourced from a fusion of satellite and in situ measurements.Extending previous twin experiments,the observational dataset combines satellite and in situ measurements,effectively mitigating the limitations of satellite accuracy and the sparse spatial coverage of in situ observations.In real-data assimilation experiments,joint optimization of the initial field and the two parameters yielded limited parameter improvement.This is attributed to the lower sensitivity of the two parameters compared to the initial field within the short assimilation time window.However,optimizing the parameters after the initial field reaches a quasi-balanced state further enhances SST prediction accuracy.Quantitatively,the SST forecast root-mean-square error is reduced by approximately 22%compared to simulations without parameter optimization.Crucially,the practical value of parameter optimization lies not in determining true parameter values,but in its capacity to counteract inherent systematic model errors,such as model bias and resolution constraints.While the spatial invariance of parameters imposes inherent limitations on forecast performance,the experiments demonstrate that optimizing α and β via 4D-Var yields measurable benefits for SST prediction accuracy. 展开更多
关键词 parameter estimation 4D-Var wave breaking MY-2.5 turbulence closure
暂未订购 下载PDF
ASYMPTOTIC BEHAVIOR AND PARAMETER ESTIMATION OF A WEIGHTED SELF-REPELLING DIFFUSION DRIVEN BYα-STABLE MOTION 认领 引用
5
作者 Yinmeng CHEN Xiaoyu XIA Litan YAN 《Acta Mathematica Scientia》 SCIE CSCD 2026年第4期1945-1956,共12页
Let Mα={Mtα,t≥0}be anα-stable motion on R with 00.Whenθ>0 and 1/β+1<a<2,we show that the convergence Jtα(0,θ,β):=(1+t)βe-G(t)Xtα→ξ∞α+ν/θand Jtα(n,θ,β... Let Mα={Mtα,t≥0}be anα-stable motion on R with 00.Whenθ>0 and 1/β+1<a<2,we show that the convergence Jtα(0,θ,β):=(1+t)βe-G(t)Xtα→ξ∞α+ν/θand Jtα(n,θ,β):=θ(1+t)β+1(Jtα(n-1,θ,β)λn-1(ξ∞α+ν/θ))→λn(t→∞)hold almost surely for all n≥1,where G(t)=∫0tθ(1+s)βds,ξ∞α=∫0∞(1+s)βe-G(s)d Msαandλn=β(2β+1)...(nβ+n-1).Using least squares method,we study estimators ofθandνand give their asymptotic distributions. 展开更多
关键词 asymptotic behavior least squares method stable motion weighted self repelling diffusion parameter estimation large time behaviors
暂未订购 下载PDF
Photovoltaic Parameter Estimation Using a Parallelized Triangulation Topology Aggregation Optimization with Real-World Dataset Validation 认领 引用
6
作者 Jun Zhe Tan Rodney H.G.Tan +4 位作者 Nor Ashidi Mat Isa Sew Sun Tiang Chun Kit Ang Kuo-Ping Lin Wei Hong Lim 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第2期691-736,共46页
Accurate estimation of photovoltaic(PV)parameters is essential for optimizing solar module perfor-mance and enhancing resource efficiency in renewable energy systems.This study presents a process innovation by introdu... Accurate estimation of photovoltaic(PV)parameters is essential for optimizing solar module perfor-mance and enhancing resource efficiency in renewable energy systems.This study presents a process innovation by introducing,for the first time,the Triangulation Topology Aggregation Optimizer(TTAO)integrated with parallel computing to address PV parameter estimation challenges.The effectiveness and robustness of TTAO are rigorously evaluated using two standard benchmark datasets(KC200GT and R.T.C.France solar cells)and a real-world dataset(Poly70W solar module)under single-,double-,and triple-diode configurations.Results show that TTAO consistently achieves superior accuracy by producing the lowest RMSE values and faster convergence compared to state-of-the-art metaheuristic algorithms.In addition,the integration of parallel computing significantly enhances computational efficiency,reducing execution time by up to 85%without compromising accuracy.Validation using real-world data further demonstrates TTAO’s adaptability and practical relevance in renewable energy systems,effectively bridging the gap between theoretical modeling and real-world implementation for PV system monitoring and optimization,contributing to climate mitigation through improved solar energy performance. 展开更多
关键词 Photovoltaic(PV) parameters estimation triangulation topology aggregation optimizer(TTAO) parallel computing optimization
暂未订购 下载PDF
Radar Micro-Doppler Parameter Estimation Method Based on Gated Dual-Path Dynamic-Wavelet Convolutional Network 认领 引用
7
作者 Jinhao Wang Xiaolong Chen +2 位作者 Xinghai Wang Jian Guan Xiaolin Du 《Journal of Beijing Institute of Technology》 EI CAS 2025年第6期566-576,共11页
Micro-Doppler parameter estimation is crucial for moving targets.However,conventional methods face limitations like inadequate time-frequency(TF)resolution and poor generalization,while existing deep learning approach... Micro-Doppler parameter estimation is crucial for moving targets.However,conventional methods face limitations like inadequate time-frequency(TF)resolution and poor generalization,while existing deep learning approaches often treat TF analysis as a fixed preprocessing step.To overcome these challenges,this paper introduces a radar micro-Doppler parameter estimation method based on a gated dual-path dynamic-wavelet convolutional network(GDWCN).The GDWCN is an end-to-end deep learning framework that maps raw radar signals to micro-motion parameters by integrating clutter suppression,gated dual-path module,feature extraction,and parameter regression.Its core innovation is a gated dual-path module that combines dynamic convolution and learnable wavelet convolution,selecting the optimal processing path based on input signal characteristics.For the Inspire 2 drone,GDWCN reduced the mean absolute error(MAE)of frequency estimation by approximately 38%compared to the enhanced time-frequency micro-Doppler network,and its relative error by approximately 69%compared to the short-time Fourier transform(STFT),and 58%over the local maximum synchroextracting transform.Ablation studies further confirm the efficacy of the clutter suppression module and the attention mechanism. 展开更多
关键词 parameter estimation radar signal processing deep learning time-frequency analysis
暂未订购 下载PDF
Online Estimation Method of Train Wheel-Rail Adhesion Coefficient Based on Parameter Estimation 认领 引用
8
作者 Yi Zhang Wenliang Zhu +2 位作者 Hanbin Wang Chun Tian Jiajun Zhou 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第9期2873-2891,共19页
Aiming to address the challenge of directly measuring the real-time adhesion coefficient between wheels and rails,this paper proposes an online estimation algorithm for the adhesion coefficient based on parameter esti... Aiming to address the challenge of directly measuring the real-time adhesion coefficient between wheels and rails,this paper proposes an online estimation algorithm for the adhesion coefficient based on parameter estimation.Firstly,a force analysis of the single-wheel pair model of the train is conducted to derive the calculation relationship for the wheel-rail adhesion coefficient in train dynamics.Then,an estimator based on parameter estimation is designed,and its stability is verified.This estimator is combined with the wheelset force analysis to estimate the wheel-rail adhesion coefficient.Finally,the approach is validated through joint simulations on the MATLAB/Simulink and AMESim platforms,as well as a hardware-in-the-loop semi-physical simulation experimental platform that accounts for system delay and noise conditions.The results indicate that the proposed algorithm effectively tracks changes in the adhesion coefficient during train braking,including the decrease in adhesion when the train brakes and slides,and the overall increase as the train speed decreases.The effectiveness of the algorithm was verified by setting different test conditions.The results show that the estimation algorithm can accurately estimate the adhesion coefficient,and through error analysis,it is found that the error between the estimated value of the adhesion coefficient and the theoretical value of the adhesion coefficient is within 5%.The adhesion coefficient obtained through the online estimation method based on the parameter estimation proposed in this paper demonstrates strong followability in both simulation and practical applications. 展开更多
关键词 Hardware-in-the-loop simulation online parameter estimation rail vehicle wheel-rail adhesion
暂未订购 下载PDF
High Resolution Sparse Imaging and Doppler Parameter Estimation of Fucheng⁃1 SAR Satellite 认领 引用
9
作者 CAI Fuxuan ZHU Ziyi +1 位作者 SONG Yufan BI Hui 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2025年第4期487-496,共10页
In recent years,the development of domestic commercial synthetic aperture radar(SAR)is in full swing,with multiple commercial SAR satellites in orbit,showing great potential in disaster monitoring,natural resource man... In recent years,the development of domestic commercial synthetic aperture radar(SAR)is in full swing,with multiple commercial SAR satellites in orbit,showing great potential in disaster monitoring,natural resource management and deformation observation.Fucheng-1 is the first C-band commercial SAR satellite for interferometric SAR(InSAR)service developed by Spacety China,which marks the gradual maturity of China’s remote sensing data service.Based on the raw data collected by Fucheng-1,this paper firstly introduces the range-Doppler algorithm(RDA),then illustrates the parameter estimation method on the basis of fractional Fourier transform(FrFT)to realize the accurate estimation of azimuth chirp rate,which effectively improves imaging quality.Finally,the L1-norm regularization based sparse imaging method is utilized to reconstruct images from down-sampled data.Experimental results show that the sparse imaging algorithm can accurately reconstruct the down-sampled Fucheng-1 data and suppress sidelobes and clutter. 展开更多
关键词 Fucheng-1 synthetic aperture radar(SAR) sparse SAR imaging parameter estimation
暂未订购 下载PDF
Incoherence parameter estimation and multiband fusion based on the novel structure-enhanced spatial spectrum algorithm 认领 引用
10
作者 JIANG Libing ZHENG Shuyu +2 位作者 YANG Qingwei ZHANG Xiaokuan WANG Zhuang 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2025年第4期867-879,共13页
In order to obtain better inverse synthetic aperture radar(ISAR)image,a novel structure-enhanced spatial spectrum is proposed for estimating the incoherence parameters and fusing multiband.The proposed method takes fu... In order to obtain better inverse synthetic aperture radar(ISAR)image,a novel structure-enhanced spatial spectrum is proposed for estimating the incoherence parameters and fusing multiband.The proposed method takes full advantage of the original electromagnetic scattering data and its conjugated form by combining them with the novel covariance matrices.To analyse the superiority of the modified algorithm,the mathematical expression of equivalent signal to noise ratio(SNR)is derived,which can validate our proposed algorithm theoretically.In addition,compared with the conventional matrix pencil(MP)algorithm and the conventional root-multiple signal classification(Root-MUSIC)algorithm,the proposed algorithm has better parameter estimation performance and more accurate multiband fusion results at the same SNR situations.Validity and effectiveness of the proposed algorithm is demonstrated by simulation data and real radar data. 展开更多
关键词 multiband fusion incoherence parameter estimation matrix pencil(MP) root-multiple signal classification(Root-MUSIC) covariance matrix.
暂未订购 下载PDF
Revisiting the quantum parameter estimation approach for Mach–Zehnder interferometry 认领 引用
11
作者 Bing-Shu Hu Xiao-Ming Lu 《Communications in Theoretical Physics》 SCIE CAS CSCD 2025年第10期132-137,共6页
The Mach-Zehnder interferometer is a fundamental tool for measuring phase shifts between two light paths,serving as a crucial prototype for achieving high-precision measurements in various scientific and technological... The Mach-Zehnder interferometer is a fundamental tool for measuring phase shifts between two light paths,serving as a crucial prototype for achieving high-precision measurements in various scientific and technological applications.In this study,we analyze different models for estimating the relative phase shift in a general two-arm Mach-Zehnder interferometer.We demonstrated that single-parameter estimation models can be reduced from the two-parameter estimation model by imposing appropriate constraints on the parameter space.To make quantum Fisher information of the single-parameter estimation models meaningful,the corresponding constraints must be guaranteed in the experiment implementation.Furthermore,we apply the quantum Fisher information approach to analyze the Mach-Zehnder interferometer with the an input state composed of a displaced squeezed vacuum state and a coherent state,providing insights into the precision limits of such configurations. 展开更多
关键词 quantum parameter estimation Mach-Zehnder interferometry quantum metrology
暂未订购 下载PDF
Aerodynamic Modeling and Parameter Estimation from QAR Data of an Airplane Approaching a High-altitude Airport 认领 引用 被引量：23
12
作者 WANG Qing WU Kaiyuan +2 位作者 ZHANG Tianjiao KONG Yi'nan QIAN Weiqi 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2012年第3期361-371,共11页
Aerodynamic modeling and parameter estimation from quick accesses recorder （QAR） data is an important technical way to analyze the effects of highland weather conditions upon aerodynamic characteristics of airplane.... Aerodynamic modeling and parameter estimation from quick accesses recorder （QAR） data is an important technical way to analyze the effects of highland weather conditions upon aerodynamic characteristics of airplane. It is also an essential content of flight accident analysis. The related techniques are developed in the present paper, including the geometric method for angle of attack and sideslip angle estimation, the extended Kalman filter associated with modified Bryson-Frazier smoother （EKF-MBF） method for aerodynamic coefficient identification, the radial basis function （RBF） neural network method for aerodynamic mod- eling, and the Delta method for stability/control derivative estimation. As an application example, the QAR data of a civil air- plane approaching a high-altitude airport are processed and the aerodynamic coefficient and derivative estimates are obtained. The estimation results are reasonable, which shows that the developed techniques are feasible. The causes for the distribution of aerodynamic derivative estimates are analyzed. Accordingly, several measures to improve estimation accuracy are put forward. 展开更多
关键词 civil airplane aerodynamics QAR data aerodynamic modeling aerodynamic parameter estimation flight safety EKF-MBF method neural network
暂未订购 下载PDF
Research on LPI radar signal detection and parameter estimation technology 认领 引用 被引量：9
13
作者 WAN Tao JIANG Kaili +2 位作者 LIAO Jingyi JIA Tingting TANG Bin 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2021年第3期566-572,共7页
Modern radar signals mostly use low probability of intercept(LPI)waveforms,which have short pulses in the time domain,multicomponent properties,frequency hopping,combined modulation waveforms and other characteristics... Modern radar signals mostly use low probability of intercept(LPI)waveforms,which have short pulses in the time domain,multicomponent properties,frequency hopping,combined modulation waveforms and other characteristics,making the detection and estimation of LPI radar signals extremely difficult,and leading to highly required significant research on perception technology in the battlefield environment.This paper proposes a visibility graphs(VG)-based multicomponent signals detection method and a modulation waveforms parameter estimation algorithm based on the time-frequency representation(TFR).On the one hand,the frequency domain VG is used to set the dynamic threshold for detecting the multicomponent LPI radar waveforms.On the other hand,the signal is projected into the time and frequency domains by the TFR method for estimating its symbol width and instantaneous frequency(IF).Simulation performance shows that,compared with the most advanced methods,the algorithm proposed in this paper has a valuable advantage.Meanwhile,the calculation cost of the algorithm is quite low,and it is achievable in the future battlefield. 展开更多
关键词 multicomponent signals detection parameter estimation visibility graphs(VG) low probability of intercept(LPI) time-frequency representation(TFR)
暂未订购 下载PDF
ADC-GERT network parameter estimation model for mission effectiveness of joint operation system 认领 引用 被引量：9
14
作者 FANG Zhigeng WU Shuang +1 位作者 ZHANG Xiaoli SUN Yunke 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2021年第6期1394-1406,共13页
Effectiveness evaluation of the joint operation system is an important basis for the demonstration and development of weapon equipment.With the consideration that existing models of system effectiveness evaluation sel... Effectiveness evaluation of the joint operation system is an important basis for the demonstration and development of weapon equipment.With the consideration that existing models of system effectiveness evaluation seldom describe the structural relationship among equipment clearly as well as reflect the dynamic,the analog-to-digital converter-graphical evaluation and review technique(ADC-GERT)network parameter estimation model is proposed based on the ADC model and the joint operation system structure.Firstly,analysis of the joint operation system structure and operation process is conducted to build the GERT network,where equipment subsystems are nodes and activities are directed arches.Then the mission effectiveness of equipment subsystems is calculated by the ADC model.The probability transfer parameters are modified by the mission effectiveness of equipment subsystems based on the Bayesian theorem,with the ADC-GERT network parameter estimation model constructed.Finally,a case study is used to validate the efficiency and dynamic of the ADC-GERT network parameter estimation model. 展开更多
关键词 joint operation system system mission effectiveness analog-to-digital converter(ADC)model graphical evaluation and review technique(GERT) parameter estimation
暂未订购 下载PDF
Parameter estimation for chaotic systems with and without noise using differential evolution-based method 认领 引用 被引量：4
15
作者 李念强 潘炜 +3 位作者 闫连山 罗斌 徐明峰 江宁 《Chinese Physics B》 SCIE EI CAS CSCD 2011年第6期72-77,共6页
We present an approach in which the differential evolution （DE） algorithm is used to address identification problems in chaotic systems with or without delay terms. Unlike existing considerations, the scheme is able... We present an approach in which the differential evolution （DE） algorithm is used to address identification problems in chaotic systems with or without delay terms. Unlike existing considerations, the scheme is able to simultaneously extract （i） the commonly considered parameters, （ii） the delay, and （iii） the initial state. The main goal is to present and verify the robustness against the common white Guassian noise of the DE-based method. Results of the time-delay logistic system, the Mackey Glass system and the Lorenz system are also presented. 展开更多
关键词 chaotic system differential evolution noise parameter estimation
暂未订购 下载PDF
Research on likelihood ratio evaluation method of fingerprint evidence based on parameter estimation method 认领 引用 被引量：6
16
作者 Kang Li Yishi Han Yaping Luo 《Forensic Sciences Research》 CSCD 2024年第1期66-83,共18页
Fingerprints with similar morphological characteristics but from different individuals can lead to errors in individual identification,especially when dealing with large databases containing millions of fingerprints.T... Fingerprints with similar morphological characteristics but from different individuals can lead to errors in individual identification,especially when dealing with large databases containing millions of fingerprints.To address this issue and enhance the accuracy of similar fingerprint identification,the use of the likelihood ratio(LR)model for quantitative evaluation of fingerprint evidence has emerged as an effective research method.In this study,the LR fingerprint evidence evaluation model was established by using mathematical statistical methods,such as parameter estimation and hypothesis testing.This involved various steps,including database construction,scoring,fitting,calculation,and visual evaluation.Under the same-source conditions,the optimal parameter methods selected by different number of minutiae are gamma and Weibull distribution,while normal,Weibull,and lognormal distributions were the fitting parameters selected for minutiae configurations.The fitting parameters selected by different number of minutiae under different-source conditions are lognormal distribution,and the parameter methods selected for different minutiae configurations include Weibull,gamma,and lognormal distributions.The results of the LR model showed increased accuracy as the number of minutiae increased,indicating strong discriminative and corrective power.However,the accuracy of the LR evaluation based on different configurations was comparatively lower.In addition,the LR models with different numbers of minutiae outperformed those with different minutiae configurations.Our study shows that the use of LR models based on parametric methods is favoured in reducing the risk of fingerprint evidence misidentification,improving the quantitative assessment methods of fingerprint evidence,and promoting fingerprint identification from experience to science. 展开更多
关键词 fingerprints likelihood ratio parameter estimation hypothesis testing quantitative method evidence evaluation
暂未订购 下载PDF
Parameter estimation for chaotic systems using the cuckoo search algorithm with an orthogonal learning method 认领 引用 被引量：17
17
作者 李向涛 殷明浩 《Chinese Physics B》 SCIE EI CAS CSCD 2012年第5期113-118,共6页
We study the parameter estimation of a nonlinear chaotic system,which can be essentially formulated as a multidimensional optimization problem.In this paper,an orthogonal learning cuckoo search algorithm is used to es... We study the parameter estimation of a nonlinear chaotic system,which can be essentially formulated as a multidimensional optimization problem.In this paper,an orthogonal learning cuckoo search algorithm is used to estimate the parameters of chaotic systems.This algorithm can combine the stochastic exploration of the cuckoo search and the exploitation capability of the orthogonal learning strategy.Experiments are conducted on the Lorenz system and the Chen system.The proposed algorithm is used to estimate the parameters for these two systems.Simulation results and comparisons demonstrate that the proposed algorithm is better or at least comparable to the particle swarm optimization and the genetic algorithm when considering the quality of the solutions obtained. 展开更多
关键词 cuckoo search algorithm chaotic system parameter estimation orthogonal learning
暂未订购 下载PDF
Aircraft parameter estimation using a stacked long short-term memory network and Levenberg-Marquardt method 认领 引用 被引量：3
18
作者 Zhe HUI Yinan KONG +1 位作者 Weigang YAO Gang CHEN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2024年第2期123-136,共14页
To effectively estimate the unknown aerodynamic parameters from the aircraft’s flight data,this paper proposes a novel aerodynamic parameter estimation method incorporating a stacked Long Short-Term Memory(LSTM)netwo... To effectively estimate the unknown aerodynamic parameters from the aircraft’s flight data,this paper proposes a novel aerodynamic parameter estimation method incorporating a stacked Long Short-Term Memory(LSTM)network model and the Levenberg-Marquardt(LM)method.The stacked LSTM network model was designed to realize the aircraft dynamics modeling by utilizing a frame of nonlinear functional mapping based entirely on the measured input-output data of the aircraft system without requiring explicit postulation of the dynamics.The LM method combines the already-trained LSTM network model to optimize the unknown aerodynamic parameters.The proposed method is applied by using the real flight data,generated by ATTAS aircraft and a bio-inspired morphing Unmanned Aerial Vehicle(UAV).The investigation reveals that for the two different flight data,the designed stacked LSTM network structure can maintain the efficacy of the network prediction capability only by appropriately adjusting the dropout rates of its hidden layers without changing other network parameters(i.e.,the initial weights,initial biases,number of hidden cells,time-steps,learning rate,and number of training iterations).Besides,the proposed method’s effectiveness and potential are demonstrated by comparing the estimated results of the ATTAS aircraft or the bio-inspired morphing UAV with the corresponding reference values or wind-tunnel results. 展开更多
关键词 Parameter estimation LSTM network model LM method Aerodynamic parameters Flight data Aircraft dynamics modeling Network prediction capability Network parameters
暂未订购 下载PDF
Modeling and parameter estimation for hydraulic system of excavator's arm 认领 引用 被引量：20
19
作者 何清华 郝鹏 张大庆 《Journal of Central South University of Technology》 2008年第3期382-386,共5页
A retrofitted electro-hydraulic proportional system for hydraulic excavator was introduced firstly. According to the principle and characteristic of load independent flow distribution(LUDV) system,taking boom hydrauli... A retrofitted electro-hydraulic proportional system for hydraulic excavator was introduced firstly. According to the principle and characteristic of load independent flow distribution(LUDV) system,taking boom hydraulic system as an example and ignoring the leakage of hydraulic cylinder and the mass of oil in it,a force equilibrium equation and a continuous equation of hydraulic cylinder were set up. Based on the flow equation of electro-hydraulic proportional valve,the pressure passing through the valve and the difference of pressure were tested and analyzed. The results show that the difference of pressure does not change with load,and it approximates to 2.0 MPa. And then,assume the flow across the valve is directly proportional to spool displacement and is not influenced by load,a simplified model of electro-hydraulic system was put forward. At the same time,by analyzing the structure and load-bearing of boom instrument,and combining moment equivalent equation of manipulator with rotating law,the estimation methods and equations for such parameters as equivalent mass and bearing force of hydraulic cylinder were set up. Finally,the step response of flow of boom cylinder was tested when the electro-hydraulic proportional valve was controlled by the step current. Based on the experiment curve,the flow gain coefficient of valve is identified as 2.825×10-4 m3/(s·A) and the model is verified. 展开更多
关键词 excavator electro-hydraulic proportional system load independent flow distribution（LUDV） system modeling parameter estimation
暂未订购 下载PDF
Parameter estimation of GTD model and RCS extrapolation based on a modified 3D-ESPRIT algorithm 认领 引用 被引量：3
20
作者 ZHENG Shuyu ZHANG Xiaokuan +3 位作者 ZHAO Weichen ZHOU Jianxiong ZONG Binfeng XU Jiahua 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2020年第6期1206-1215,共10页
The noise robustness and parameter estimation performance of the classical three-dimensional estimating signal parameter via rotational invariance techniques(3D-ESPRIT)algorithm are poor when the parameters of the geo... The noise robustness and parameter estimation performance of the classical three-dimensional estimating signal parameter via rotational invariance techniques(3D-ESPRIT)algorithm are poor when the parameters of the geometric theory of the diffraction(GTD)model are estimated at low signal-to-noise ratio(SNR).To solve this problem,a modified 3D-ESPRIT algorithm is proposed.The modified algorithm improves the parameter estimation accuracy by proposing a novel spatial smoothing technique.Firstly,we make cross-correlation of the auto-correlation matrices;then by averaging the cross-correlation matrices of the forward and backward spatial smoothing,we can obtain a novel equivalent spatial smoothing matrix.The formula of the modified algorithm is derived and the performance of this improved method is also analyzed.Then we compare root-meansquare-errors(RMSEs)of different parameters and the locating accuracy obtained by different algorithms.Furthermore,radar cross section(RCS)of radar targets is extrapolated.Simulation results verify the effectiveness and superiority of the modified 3DESPRIT algorithm. 展开更多
关键词 parameter estimation novel spatial smoothing scattering center geometric theory of diffraction(GTD)model radar cross section(RCS)extrapolation
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 25 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈