非线性约束条件下的二次优化R-CAB算法  

Improved Robust Cyclic Adaptive Beamforming Algorithm with Nonlinear Constraint

作　　者：赵清华[1] 刘建霞[1] 李梁[2] 李化[1] 王华奎[1] 

机构地区：[1]太原理工大学信息工程学院,山西太原030024 [2]太原师范学院城市与旅游学院,山西太原030012

出　　处：《太原理工大学学报》2008年第5期475-478,共4页Journal of Taiyuan University of Technology

摘　　要：为了解决R-CAB算法的方向图零陷不深或无法对准干扰信号方向的问题,在非线性约束条件下,通过二次优化鲁棒周期自适应波束形成算法的的权向量,调整了方向图零陷的位置和深度,改善了输出SINR。优化算法的输出SINR对导引向量随机误差具有稳健性,对期望信号的功率变化表现出不敏感特性,具有很好的的理论价值以及应用前景。理论分析与计算机仿真试验都证明了算法的有效性。In order to optimize the position and the depth of null, an improved robust cyclic adaptive beamforming algorithm with nonlinear constraint was presented. The nonlinear constraint method was used to modify the weight vector of adaptive pattern to improve the robust characteristics. The final solution of weight vector was different from alterably diagonal loading and the unknown parameter in optimal solution can be obtained easily and accurately. The SINR （signal to interference plus noise ratio） of the new algorithm has robust characteristics for random steering vector errors and is not sensitive to power change of SOl（signal of interest）. Simulation results prove the validity of the new algorithm.

关 键 词：鲁棒周期自适应波束形成算法 非线性约束 阵列天线 

分 类 号：TN911.6[电子电信—通信与信息系统]