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基于单电磁矢量传感器的多参数联合估计
引用本文:刘芳,李会勇. 基于单电磁矢量传感器的多参数联合估计[J]. 电子信息对抗技术, 2014, 0(2): 6-9
作者姓名:刘芳  李会勇
作者单位:电子科技大学电子工程学院,成都611731
摘    要:利用电磁矢量传感器来实现信号多参数的联合估计是近年来信号处理领域的一种新的方法和途径。基于单个电磁矢量传感器通过构造两组具有固定时延的接收数据,利用TLSESPRIT算法和矢量叉积相结合实现了多参数的联合估计,参数自动完成配对,可以最多同时估计5个不相关的信号,且空间到达角、极化参数的估计和信号频率的估计是两个相互独立的过程互不影响,与利用极化敏感阵列进行参数估计相比计算量小,并通过计算机仿真验证了此方法的有效性。

关 键 词:电磁矢量传感器  多参数估计  矢量叉积

Multi-Parameters Estimation Based on Uni-Vector Sensor
LIU Fang,LI Hui-yong. Multi-Parameters Estimation Based on Uni-Vector Sensor[J]. , 2014, 0(2): 6-9
Authors:LIU Fang  LI Hui-yong
Affiliation:( School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)
Abstract:It is very important to estimate the multi-parameters of muhi-signals in the space, and signal parameters estimation based on the electromagnetic vector sensor is a new method in the array signal processing in recent years. Using the TLS-ESPRIT algorithm and vector cross product through just one vector sensor, multi-parameters estimation of signals is accomplished. The multi-parameter could match automatically without any additional processing, and up to five uncorrelated electromagnetic sources could be resolved. The computer simulation results indicate that the method performs well.
Keywords:electromagnetic vector sensor  multi-parameters estimation  vector cross product
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