线性干扰参数约束的稳健LSMI波束形成算法  

Robust LSMI Beamforming Algorithm Under Linear Jammer Parameter Constraint

作　　者：刘聪锋[1] 廖桂生[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《电子学报》2009年第6期1386-1392,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)

摘　　要：针对稳健的加载样本矩阵求逆(LSMI)波束形成算法,给出了一种新的求解方法,获得了加载电平的准确计算公式,而且得出最优加载量为负值,且与约束参数的选取无关.为了改善LSMI波束形成算法的抗干扰性能,提出利用线性干扰参数约束(LJC)来实现,其中对LJC-LSMI波束形成算法进行了建模和求解,得到了最优加权矢量的表达式,并给出了具体的求解方法.仿真分析验证了算法的正确性和有效性,结果表明LJC-LSMI相对于LSMI具有较强的干扰抑制能力,相对于线性约束最小功率(LCMP)波束形成算法具有稳健的波束指向性能.For the robust loading sample matrix inversion （LSMI） beamforming algorithm, a solution is given, therein the precise formula for loading level is obtained,and it deduces that the optimal loading level is negative,and bears no relation to the constraint parameter. In order to improve the jammer resisting performance of LSMI, the linear jammer parameter constraint （LJC） is proposed, via modeling and solving the LSMI beamforming algorithm with LJC,the expression of the optimal weighting vector is obtained,and the solving method is given particularly.Numerical examples attest the conectness and the validity of the proposed al- gorithm,and indicate that LJC-LSMI has stronger capability for resisting the jammer than LSMI, and has more robust pointing performance than linear constraint minimum power （LCMP） beamfonning algorithm.

关 键 词：自适应波束形成 加载样本矩阵求逆 导向矢量失配 线性干扰参数约束 负对角加载 

分 类 号：TN911[电子电信—通信与信息系统]