论文部分内容阅读
针对存在主瓣干扰时的目标波达方向(DOA)估计问题,提出了一种利用子阵平移不变性的自适应干涉测角方法。首先,将面阵划分成经过平移能重合的上、下子阵;其次,用训练样本估计上、下协方差矩阵,各自经特征分解后获得特征矢量;然后,通过主特征矢量空间构造上、下子阵的干扰正交补空间,将波束指向的导向矢量向干扰正交补空间投影,得到子阵抗干扰权;接着,利用上、下子阵自适应干扰抑制后的输出在子阵级通过干涉测角获得目标俯仰角估计;最后,对方位维做类似处理,获得方位角估计。数学推导证明干涉测角与自适应波束畸变无关。与其他方法相比,该方法具有更好的抗干扰性能与更佳的测角性能。实测和仿真数据的处理结果显示了该方法的有效性及优越性。
Aiming at the problem of target DOA estimation in the presence of mainlobe interference, an adaptive interferometric angle measurement method using sub-array translational invariance is proposed. First, the area matrix is divided into upper and lower sub-arrays which can be superposed by translation. Secondly, the upper and lower covariance matrices are estimated by the training samples, and then the feature vectors are obtained by the feature decomposition. Then, the upper and lower sub-matrix Matrix interference orthogonal complement space, the beam steering vector oriented orthogonal interferometric complement to the space projection to obtain the anti-interference power of the sub-array; Then, the use of the upper and lower sub-array adaptive interference suppression output at the sub-array interference Angle to obtain the target pitch angle estimation. Finally, do similar processing to the azimuth dimension to obtain the azimuth estimation. Mathematical deduction proves that the interferometric angle has nothing to do with the adaptive beam distortion. Compared with other methods, this method has better anti-jamming performance and better angle measuring performance. The processing results of measured and simulation data show the effectiveness and superiority of this method.