摘要
为有效提高阵列对来波方向误差和极化参数误差的鲁棒性,提出一种空域-极化域联合稳健自适应波束形成算法,首先在每个干扰信号来波方向-极化角区间上重构干扰噪声协方差矩阵,然后在期望信号来波方向-极化角区间上估计其导向矢量,设计空域-极化域联合稳健波束加权。通过仿真实验可发现,所提算法对由来波方向角度误差和极化参数误差所引起的导向矢量失配具有很好的鲁棒性。
In order to effectively improve the robustness against the direction error of arrival and the polarization parameter error this paper addresses a spatial-polarization domain joint-robust adaptive beamforming algorithm. First of all the Interference-Plus-Noise Covariance Matrix( IPNCM) is reconstructed on the direction-polarization angle interval of each interference signal. Then the steering vector of the desired signal is estimated on its direction-polarization angle interval. The joint-robust beamforming weighting is designed based on the reconstructed IPNCM and the estimated steering vector for airspacepolarization domain. The simulation results show that the proposed algorithm is robust against the steering vector mismatch caused by the direction error of arrival and the polarization parameter error.
引文
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