为了进一步提高极化敏感阵列的滤波性能、得到更为稳定的波束图,将常规的幅度相位估计算法扩展到极化域-空域联合的自适应波束形成中,提出了一种新的波束形成算法SPAPES(Spatial-Polarization Amplitude and Phase Estimation)。首先,给出了算法的信号模型。然后,对所提出算法的滤波原理作了理论推导,得到了最优权向量的表达式。最后,通过仿真实验验证了算法的有效性。计算机仿真结果表明,在强期望信号功率、低采样快拍数的情况下,所提算法都可以很好地在空间-极化联合域中抑制干扰,同时该算法还具有对相干信号的解相干能力。
To improve the filtering performance of the polarization sensitive array and the stability of the beam pattern, in this paper, the normal APES is extended to spatial-polarization adaptive beamforming algo rithm, and a novel beamforming algorithm, called SPAPES, is proposed. The system model and basic idea of the algorithm are given. Then, the filtering theory of the proposed algorithm is derived theoretically, and the expression of the optimal weight vector is obtained. Finally, computer simulation verifies that the pro posed algorithm is effective, and the results show that the proposed method, on the condition of high desired signal power and less snapshot number, has good interference suppression ability. The proposed algorithm also has the decorrelation ability for coherent signal.