典型文献
Super-resolution DOA estimation for correlated off-grid signals via deep estimator
文献摘要：
This paper develops a deep estimator framework of deep convolution networks (DCNs) for super-resolution direc-tion of arrival (DOA) estimation. In addition to the scenario of correlated signals, the quantization errors of the DCN are the major challenge. In our deep estimator framework, one DCN is used for spectrum estimation with quantization errors, and the remaining two DCNs are used to estimate quantization errors. We propose training our estimator using the spatial sampled covariance matrix directly as our deep estimator's input without any feature extraction operation. Then, we reconstruct the origi-nal spatial spectrum from the spectrum estimate and quantiza-tion errors estimate. Also, the feasibility of the proposed deep estimator is analyzed in detail in this paper. Once the deep esti-mator is appropriately trained, it can recover the correlated sig-nals' spatial spectrum fast and accurately. Simulation results show that our estimator performs well in both resolution and estimation error compared with the state-of-the-art algorithms.
文献关键词：
中图分类号：
作者姓名：
WU Shuang;YUAN Ye;ZHANG Weike;YUAN Naichang
作者机构：
Facility Design and Instrumentation Institute,China Aerodynamics Research and Development Center,Mianyang 621000,China;State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology,Changsha 410073,China
文献出处：
引用格式：
[1]WU Shuang;YUAN Ye;ZHANG Weike;YUAN Naichang-.Super-resolution DOA estimation for correlated off-grid signals via deep estimator)[J].系统工程与电子技术（英文版）,2022(06):1096-1107
A类：
DCNs,quantiza
B类：
Super,resolution,DOA,estimation,correlated,off,grid,signals,via,deep,estimator,This,paper,develops,framework,convolution,networks,super,arrival,In,addition,scenario,quantization,errors,major,challenge,our,one,used,spectrum,remaining,estimate,We,training,using,spatial,sampled,covariance,matrix,directly,input,without,any,feature,extraction,operation,Then,reconstruct,origi,from,Also,feasibility,proposed,analyzed,detail,this,Once,appropriately,trained,can,recover,fast,accurately,Simulation,results,show,that,performs,well,both,compared,state,art,algorithms
AB值：
0.461094
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