改进LCMV算法在抑制干扰噪声中的应用

Application of Improved LCMV Algorithm in Restraining Interference and Noise

根据波束空间理论提出了一种自适应波束形成算法。通过对输入数据矩阵进行预处理,使得协方差矩阵中不再包含信号子空间向量。为进一步抑制杂波干扰,新算法还引入对角加载,使得改进后的LCMV算法对于不同信噪比的期望信号与干扰信号都能形成特性良好的方向图,提高了阵列天线的输出SINR。仿真证明了算法的有效性。

An improved LCMV （linearly constrained minimum variance） adaptive beamforming algorithm is presented. Based on beam space principle, the vectors of beam space comprise of signal subspace vectors and interference subspace vectors. By using pretreatment technology for the input data matrix, the covariance matrix of receiving data will not almost include the signal subspace vectors. To constrain the interference of SNOIs （signals of not interesting）, the diagonal loading technology for covariance matrix of sample matrix is considered. The improved LCMV algorithm can form well pattern for SOl signals and interference signals with various SNR and improve output SINR of array antennas. Simulations show the validity of the approach.