摘要
针对空间分布散射信号源的稳健波束形成问题,提出了一种新的通用信号模型稳健波束形成算法,不仅得到了封闭形式的最优加权矢量,而且获得了最优的性能改善.其中分析了与传统对角加载的关系,给出了最优加载量的计算方法,并得出具有最优负加载的解才可以获得最优的性能改善.最后的仿真分析验证了所提出算法的正确性和有效性,而且发现最优加权矢量只取决于给定的接收数据和未知的失配量,与失配约束参数的选择无关,而失配约束参数只是参与最优权计算的辅助参数.
For the robust adaptive beamforming problem of the space distributed signal models,a robust beamforming algorithm for general signal models is proposed.Not only the close-form solution is found,but also the optimal performance improvement can be obtained.Therein,the relationship of the proposed algorithm with the traditional diagonal loading is analyzed,and the optimal loading level can be computed exactly,the solution with the optimal negative loading has the optimal performance.The last simulation attests its correctness and effectiveness,and indicates that the optimal weight vector is only determined by the given received data and the unknown mismatch,and is independent of the mismatch constraint parameter,but the mismatch constraint parameter is the adjective parameter for the optimal weight computing.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2010年第6期1249-1255,共7页
Acta Electronica Sinica
基金
国家杰出青年基金(No.60825104)
国家自然科学基金(No.60736009)
博士后基金(No.20090451252)
陕西省工业攻关项目(No.2009K08-31)
关键词
自适应波束形成
最差性能最优
通用信号模型
负对角加载
adaptive beamforming
worst-case performance optimization
general signal models
negative diagonal loading
