In the paper, a new selection probability inspired by artificial bee colony algorithm is introduced into standard particle swarm optimization by improving the global extremum updating condition to enhance the capabili...In the paper, a new selection probability inspired by artificial bee colony algorithm is introduced into standard particle swarm optimization by improving the global extremum updating condition to enhance the capability of its overall situation search. The experiment result shows that the new scheme is more valuable and effective than other schemes in the convergence of codebook design and the performance of codebook, and it can avoid the premature phenomenon of the particles.展开更多
针对传统模拟/数字混合波束赋形需要进行信道估计和高维奇异值分解(Singular Value Decomposition,SVD)的问题,设计了一种低复杂度的混合波束赋形方案。在模拟域,采用离散傅立叶变换(Discrete Fourier Transform,DFT)设计出码本波束,并...针对传统模拟/数字混合波束赋形需要进行信道估计和高维奇异值分解(Singular Value Decomposition,SVD)的问题,设计了一种低复杂度的混合波束赋形方案。在模拟域,采用离散傅立叶变换(Discrete Fourier Transform,DFT)设计出码本波束,并提出一种基于期望信号的波束扫描方法,搜索出最接近期望用户方向的模拟波束。在数字域,结合自适应算法将波束微调对准期望用户方向,并在干扰方向形成较深的“零陷”。通过理论分析和仿真,对误差收敛、信干噪比以及频谱效率等性能进行了研究。结果表明,所设计的混合波束赋形方案在不涉及信道估计、SVD分解的情况下,信干噪比和频谱效率等性能仍可以接近于纯数字波束赋形方案。展开更多
基金Sponsored by the Qing Lan Project of Jiangsu Province
摘要In the paper, a new selection probability inspired by artificial bee colony algorithm is introduced into standard particle swarm optimization by improving the global extremum updating condition to enhance the capability of its overall situation search. The experiment result shows that the new scheme is more valuable and effective than other schemes in the convergence of codebook design and the performance of codebook, and it can avoid the premature phenomenon of the particles.
摘要针对传统模拟/数字混合波束赋形需要进行信道估计和高维奇异值分解(Singular Value Decomposition,SVD)的问题,设计了一种低复杂度的混合波束赋形方案。在模拟域,采用离散傅立叶变换(Discrete Fourier Transform,DFT)设计出码本波束,并提出一种基于期望信号的波束扫描方法,搜索出最接近期望用户方向的模拟波束。在数字域,结合自适应算法将波束微调对准期望用户方向,并在干扰方向形成较深的“零陷”。通过理论分析和仿真,对误差收敛、信干噪比以及频谱效率等性能进行了研究。结果表明,所设计的混合波束赋形方案在不涉及信道估计、SVD分解的情况下,信干噪比和频谱效率等性能仍可以接近于纯数字波束赋形方案。