摘要
本文将导向矢量失配时的稳健波束形成问题归结为二次锥规划问题,利用高效的内点法求解。该波束形成器成功地应用于存在阵元位置误差的柔性稀疏阵,相对于经典的对角线加载法、特征空间法,在不同的输入信噪比下获得了更好的输出信号干扰加噪声比。仿真结果表明对超稀疏分布的柔性阵,阵元位置误差对输出SINR起决定性影响,而阵列稀疏程度对其影响不大。
The second order cone programming approach to robust beamforming in the presence of signal steering vector mismatch is presented in this paper. The robust weights can be computed efficiently using interior point method. The beamformer is successfully applied to flexible sparse arrays with not exactly located sensors, achieving higher output SINR versus almost all the values of input SNR, compared with the traditional diagonal loading SMI beamformer and eigenspace-based beamformer. Simulation figures demonstrate that it is sensor location error rather than sensor sparsity that dominates the output SINR of flexible sparse array beamformer.
出处
《信号处理》
CSCD
北大核心
2007年第2期169-173,共5页
Journal of Signal Processing
基金
973项目资助
关键词
柔性稀疏阵
稳健波束形成
二次锥规划
flexible sparse array
robust beamforming
second order cone programming