基于四阶累积量的空域矩阵滤波DOA估计算法  

Spatial Matrix Prefilter DOA Estimation Based on Four-order Cumulate

作　　者：袁振涛[1] 胡卫东[1] 郁文贤[1] 

机构地区：[1]国防科技大学电子科学与工程学院ATR实验室,长沙410073

出　　处：《信号处理》2009年第5期755-760,共6页Journal of Signal Processing

摘　　要：空域矩阵滤波器通过保持空域通带内的信号,抑制空域阻带内的干扰与噪声来提高DOA(Direction Of Arrival)估计的精度。本文使用二阶锥规划(Second-order Cone Programming)方法设计空域矩阵滤波器,利用滤波后数据的四阶累积量进行信号源到达角估计,以消除空域矩阵滤波作用时产生的色噪声的影响,从而提高信号源DOA估计的性能。此外,通过滑动空域矩阵滤波器的通带,还使得阵列具有估计多于阵元数目信号源到达角的能力。计算机仿真结果验证了算法的有效性。As an implementation of spatial filtering, spatial matrix filter （SMF） improves the performance of DOA estimation of multiple sources through keeping the signals in spatial passband （sector-of-interest） and attenuating the noise and interference in spatial stopband （outside the sector-of-interest）. To eliminate the effects caused by SMF prefihering, which is the white gauss noise （WGN） being transformed into color gauss noise （CGN） ,we proposed an novel DOA estimation approach based on four-order cumulate （FOC） of the data snapshots filtered by SMF. Meanwhile,by sliding the passband of SMF,the approach makes it possible to estimate DOAs of multiple sources more than the number of elements of an array. Results of simulation validate its effectiveness.

关 键 词：到达角估计 空域矩阵滤波 四阶累积量 二阶锥规划 

分 类 号：TN911.72[电子电信—通信与信息系统]