摘要
针对常规Capon波束形成算法在期望信号导向矢量不匹配时性能下降,研究了一种基于干扰噪声协方差矩阵估计的稳健波束形成算法。干扰噪声协方差矩阵估计分为干扰信号部分及噪声信号部分,干扰信号部分由干扰信号功率及其导向矢量获得。当噪声为高斯白噪声时,将接收信号协方差矩阵的小特征值求均值,得到噪声信号功率,进而估计出噪声信号部分。将期望信号导向矢量在噪声子空间投影取得最优值,就能获取更为精确的导向矢量。仿真结果表明,阵列能够正确指向期望信号且具有较高的输出信干噪比。
Because of the fact that the performance of standard Capon beamformer will be degradative in the presence of the desired signal steering vector mismatch, a robust Capon beamforming algorithm based on the interference noise covariance matrix estimation is investigated. The interference noise covariance matrix includes the interference signal part and the noise signal part. The interference signal part can be estimated by the power of the interference signal and the steering vector. When the noise signal is the white Gaussian noise, the noise signal part can be obtained by the means of small eigenvalue, which is acquireded by the eigen decomposition of the correlation matrix. The projection of signal steering vector onto noise subspace is optimize, and a more exact steering vector can be got. The simulation results demonstrate that the array can point to the desired signal correctly and have a higher signal to interference noise ratio.
出处
《现代雷达》
CSCD
北大核心
2014年第9期22-25,57,共5页
Modern Radar
