基于ESPRIT算法的L-型矢量阵源方位估计

DOA estimation based on ESPRIT algorithm using L-shape vector-sensor array

建立了水平L 型矢量水听器阵列的数据模型,研究了利用ESPRIT算法同时对目标的水平方位角和仰角进行高分辨率角度估计.仿真L 型矢量水听器阵对单个源和多个源的方位估计情况,并和相同阵型的声压阵方位估计性能进行比较.结果表明,相对于声压阵,矢量阵可以在不增加阵孔径的前提下提高对单源方位估计的精度,获得的增益为6dB左右,同时提高了对多目标方位的分辨能力.

A data model of an L-shaped vector-sensor array was built in order to improve the ability to distingnish a multisource. The azimuth angle and elevation angle were estimated using the ESPRIT algorithm based on an L-shaped vector-sensor array as well as an L-shaped pressure sensor array. Simulation of direction of arrival (DOA) estimation for a single source and two sources was carried out. The results indicate that higher resolution of DOA estimation can be obtained using the ESPRIT algorithm based on vector-sensor array than that based on a pressure sensor array at the same aperture. The gain was about 6 dB. The distinguishing capability was related to the difference of direction cosine between two sources.