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Efficient tensor decomposition method for noncircular source in colocated coprime MIMO radar

Efficient tensor decomposition method for noncircular source in colocated coprime MIMO radar

作     者:Qian-Peng Xie Xiao-Yi Pan Shun-Ping Xiao 谢前朋;潘小义;肖顺平

作者机构:National University of Defense TechnologyChangsha 410073China 

出 版 物:《Chinese Physics B》 (中国物理B(英文版))

年 卷 期:2020年第29卷第5期

页      面:333-345页

核心收录:

学科分类:080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 081105[工学-导航、制导与控制] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

基  金:Project supported by the National Natural Science Foundation of China(Grant Nos.61701507 61890542 and 61890540) 

主  题:colocated coprime MIMO radar noncircular signal tensor decomposition DOD and DOA estimation 

摘      要:An effective method via tensor decomposition is proposed to deal with the joint direction-of-departure(DOD)and direction-of-arrival(DOA)estimation of noncircular sources in colocated coprime MIMO *** decomposing the transmitter and receiver into two sparse subarrays,noncircular property of source can be used to construct new extended received signal model for two sparse *** new received model can double the virtual array aperture due to the elliptic covariance of imping sources is *** further exploit the multidimensional structure of the noncircular received model,we stack the subarray output and its conjugation according to mode-1 unfolding and mode-2 unfolding of a third-order tensor,***,the corresponding extended tensor model consisted of noncircular information for DOA and DOD can be ***,the higher-order singular value decomposition technique is utilized to estimate the accurate signal subspace and angular parameter can be automatically paired via the rotational invariance ***,the ambiguous angle can be eliminated and the true targets can be achieved with the aid of the coprime ***,a closed-form expression for the deterministic CRB under the NC sources scenario is also *** results verify the superiority of the proposed estimator.

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