基于均匀圆阵(UCA),提出一种信号二维方向角的高精度估计方法。首先,充分利用了信号的空、时域信息,构造时空旋转矩阵,从而达到多个信源分离的目的。其次,直接利用UCA的阵列流形,采用最小二乘法估计信号二维方向角。最后,给出解相位整周期性模糊的方法。计算机仿真表明了此方法具有估计精度高,对阵元的幅相误差鲁棒性强等特点。
Based on uniform circular arrays (UCAs), a high-precision estimation of 2D direction angle for multiple sources is proposed. First, exploiting information of source in 2D space-time domain forms the space-time rotational matrix, so that the multiple sources are separated. Second, based on a direct array manifold in UCA, the azimuth and elevation are estimated by Least Squares (LS). Finally, the removal method of cyclic ambiguity is presented. Numerical results show that the advantages of estimator are high precision and robustness to amplitude and phase error of sensor gain.