A TEMPORO-SPATIAL CONJUGATE CYCLIC ESPRIT SPECTRUM CORRELATION ALGORITHM WITH MINIMUM-REDUNDANCY
一种基于最小冗余线阵的时空共轭循环谱相关ESPRIT算法

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.