基于GS算法的天线方向图零陷加宽方法

Adapted Pattern Trough Widening Technique on GS Algorithm

  • 摘要: 为了自适应数字波束形成(ADBF)中应用Gram-Schmidt(GS)算法使天线方向图自适应零陷加宽, 通过构造附加离散个干扰源的数学模型重构干扰信号子空间, 并修正阵列快拍数据的协方差矩阵, 进而对协方差矩阵GS正交化.在干扰噪声较大时, 适当调整附加干扰源的位置和个数, 得到期望的零陷宽度.算法简单易行, 在传统GS算法基础上所增加的运算量很小.仿真证明了该方法的有效性.

     

    Abstract: To widen adapted antenna pattern troughs on Gram-Schmidt(GS) algorithm in adaptive digital beamforming(ADBF), a mathematical model of adding more discrete interferring sources was constructed to change the interferring signal subspace, and then modified the covariance matrix of array snapshot data, while furthermore GS orthogonalized the covariance matrix.In the condition of high interference noses, adjusting the position and number of discrete interferring sources can obtain the expected trough width.The method is simple, easy to use and adds few load based on conventional GS algorithm.Computer simulation results showed validity of the proposed method.

     

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