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一种基于分数阶傅里叶变换域加权MUSIC算法的移动单站多目标无源定位方法 被引量:3

A Method for Multi-target Passive Location by a Movable Single Station Based on Weighted MUSIC Algorithm in FRFT Domain
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摘要 针对多个线性调频信号目标源存在的情况,通过分析接收信号的多普勒频移,建立移动单站上天线阵列对多分量线性调频(LFM)信号的接收模型,提出基于分数阶傅里叶变换(FRFT)域加权MUSIC算法的无源定位方法,实现了低信噪比下多目标的信号检测与方位估计.仿真结果表明,该算法可以分辨多个频率及空间相近的目标源,且精度很高. Aiming at the situation of multiple linear frequency modulation(LFM) signal sources,by analyzing the Doppler shift of received signals,a multi-component LFM signal model for the antenna array on a movable single station was built.Then a method for multi-target passive location based on weighted MUSIC algorithm in fractional Fourier transformation(FRFT) domain was presented,which implements the detection and DOA estimation of multi-target signals at low SNR.The simulation results show that multiple targets with similar frequency and close space can be distinguished in a high accuracy.
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 2011年第3期345-349,共5页 Journal of Shanghai Jiaotong University
基金 航天支撑基金资助项目 国家重点基础研究发展规划(973)项目(2009CB320205)
关键词 线性调频信号 多目标 无源定位 分数阶傅里叶变换 加权MUSIC算法 linear frequency modulation(LFM) signal multi-target passive location fractional Fourier transformation (FRFT) weighted MUSIC algorithm
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