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基于ESPRIT算法的L-型矢量阵源方位估计
引用本文:张揽月,杨德森.基于ESPRIT算法的L-型矢量阵源方位估计[J].哈尔滨工程大学学报,2005,26(3):340-343.
作者姓名:张揽月  杨德森
作者单位:哈尔滨工程大学,水声工程学院,黑龙江,哈尔滨,150001;哈尔滨工程大学,水声工程学院,黑龙江,哈尔滨,150001
基金项目:水声技术国防科技重点实验室基金资助项目(OOJS23.8.1CB0104).
摘    要: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。

关 键 词:矢量水听器阵  ESPRIT算法  方位估计
文章编号:1006-7043(2005)03-0340-04
修稿时间:2004年5月19日

DOA estimation based on ESPRIT algorithm using L-shape vector-sensor array
ZHANG Lan-yue,YANG De-sen.DOA estimation based on ESPRIT algorithm using L-shape vector-sensor array[J].Journal of Harbin Engineering University,2005,26(3):340-343.
Authors:ZHANG Lan-yue  YANG De-sen
Abstract: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.
Keywords:vector-sensor array  ESPRIT algorithm  direction of arrival estimation
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