摘要
本文提出了一种基于最小冗余线阵的共轭循环谱相关ESPRIT算法。该算法引入了时空联合处理,构造了最小冗余线阵的伪数据矩阵,并基于此矩阵进行DOA估计。当采用M阵元最小冗余线阵时,该算法的等效阵列孔径为2N-1(N>M)。理论和计算机仿真实验均表明:与基于均匀线阵的共轭循环ESPRIT算法相比,该算法具有良好的DOA估计性能,扩展了阵列孔径,抗噪能力强,分辨率高,能用较少的阵元估计更多的信号源方向。
In this paper, the spectral correlation conjugate cyclic ESPRIT with Minimum-Redundancy Linear-Arrays (MRLA) is presented. The algorithm constructs the pseudodata matrix of MRLA to estimate Direction-Of-Arrival (DOA) through temporal and spatial processing. The equivalent array aperture of the algorithm is 2N -1 with M-sensor MRLA (N>M). Theoretical analysis and computer simulations show that the algorithm is of better performance, such as extending aperture, being insensitive to noise, having higher resolution, and estimating more sources with fewer sensors.
基金
863计划(课题编号 863-317-9603-07-4)
雷达信号处理重点实验室国防预研基金
西安交通大学研究生院博士学位论文基金
关键词
最小冗余线阵
虚拟阵列
波达方向估计
时空共轭
Minimum-redundancy linear-arrays, Virtual array, Direction-of-arrival estimation
