三平行线阵改进传播算子算法的波达方向估计

2-D DOA estimation based on an improved PM algorithm with three parallel uniform linear arrays

在三平行立体线阵中,传统二维传播算子(Propagator Method,PM)算法进行传播算子估计时,根据划分子阵直接构造的信号协方差矩阵存在较大冗余度.为了降低运算量,可以通过子阵合并的方式,摒弃协方差矩阵的冗余数据,利用重构的协方差矩阵估算传播算子,然后构造新的传播算子,得到与二维波达方向(direction of arrival,DOA)相关的三维超定方程组,再引入非线性最小二乘法处理该方程组求解得二维DOA信息.仿真结果表明,该算法降低了运算量,提高了二维DOA估计的精度.

When parameter P is estimated with conventional propagator method（PM） algorithm for 2-D direction of arrival（DOA） estimation in three parallel uniform linear arrays,there is lots of redundancy in covariance matrix constructed by divided sub-arrays.In order to reduce computational effort,we can eliminate the redundant data in covariance matrix by merging sub-arrays and estimate parameter P with reconstructed covariance matrix.Then a new parameter P is formed to get an over-determined nonlinear equations set about the 2D-DOA,and the equations set is dealt with by the nonlinear least square algorithm to gain the elevation angle and the azimuth angle.Simulation results show that the proposed method reduces computational effort and improvs the precision.