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机构地区:[1]电子科技大学电子工程学院,四川成都611731
出 处:《信号处理》2018年第1期13-20,共8页Journal of Signal Processing
基 金:国家自然科学基金(61571088)
摘 要:在快拍数较少且多个输入期望信号功率差异较大的情况下,针对多数自适应多波束形成算法难以同时保持强弱期望信号波束稳健性的问题,文中联合子空间变换技术以及对角加载技术对协方差矩阵进行重构,提出了一种基于协方差矩阵重构的稳健自适应多波束形成算法。该算法不仅能够在快拍数较少且多个期望信号功率差异较大情况下同时保持各波束主波束无畸变,而且能够保持各波束零陷的稳健性。最后,通过波束图对比仿真实验分析验证了重构协方差矩阵对强弱期望信号波束主瓣与零陷稳健性的提升,并且通过输出信干噪比对比实验证明了文中提出的自适应多波束形成算法抗干扰性能更优。For most of the adaptive multi-beamforming algorithms, it is difficult to keep the robustness of the beams of the strong and weak desired signals at the same time when the power of the desired signals differs greatly and the number of snapshots is not enough. In this paper, a robust adaptive multi-heamforming algorithm based on the covariance matrix re- construction is proposed. The covariance matrix is reconstructed by combining the subspace transformation and diagonal loading technique. The algorithm can not only keep each beam stable when the power of the desired signals differs greatly and the number of snapshots is not enough, but also keep the robustness of the hulling of each beam. Finally, beam pattern simulations are carried out to verify the improvement of the reconstructed covariance matrix for the robustness of the main lobe and nulling of each beam. The output signal-to-interference plus noise ratio (SINR) comparisons show that the anti-in- terference performance of the proposed algorithm in this paper is better.
关 键 词:稳健自适应多波束形成 协方差矩阵重构 子空间变换 对角加载
分 类 号:TN911[电子电信—通信与信息系统]
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