Robust LSMI Beamforming Algorithm Under Linear Jammer Parameter Constraint

LIU Cong-feng; LIAO Gui-sheng

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Robust LSMI Beamforming Algorithm Under Linear Jammer Parameter Constraint

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- Robust LSMI Beamforming Algorithm Under Linear Jammer Parameter Constraint
- Acta Electronica Sinica Vol. 37, Issue 6, Pages: 1386-1392(2009)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911
- Published：2009
- 稿件说明：
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LIU Cong-feng, LIAO Gui-sheng. Robust LSMI Beamforming Algorithm Under Linear Jammer Parameter Constraint[J]. Acta Electronica Sinica, 2009, 37(6): 1386-1392.
DOI：

LIU Cong-feng, LIAO Gui-sheng. Robust LSMI Beamforming Algorithm Under Linear Jammer Parameter Constraint[J]. Acta Electronica Sinica, 2009, 37(6): 1386-1392. DOI：

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.

Abstract

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 correctness and the validity of the proposed algorithm

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) beamforming algorithm.

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