The Analysis of Using Spatial Smoothing for DOA Estimation of Coherent Signals in Sparse Arrays

When there is coexistence of uncorrelated and coherent signals in sparse arrays, the conventional algorithms for direction-of-arrival (DOA) estimation using difference coarray fail. In order to solve the problems, this paper analyzes the feasibility of using spatial smoothing in sparse arrays. First...

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Main Authors: Haiyun Xu, Weijia Cui, Yuxi Du, Fengtong Mei, Bin Ba
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2021/4447562
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author Haiyun Xu
Weijia Cui
Yuxi Du
Fengtong Mei
Bin Ba
author_facet Haiyun Xu
Weijia Cui
Yuxi Du
Fengtong Mei
Bin Ba
author_sort Haiyun Xu
collection DOAJ
description When there is coexistence of uncorrelated and coherent signals in sparse arrays, the conventional algorithms for direction-of-arrival (DOA) estimation using difference coarray fail. In order to solve the problems, this paper analyzes the feasibility of using spatial smoothing in sparse arrays. Firstly, we summarize the two types of sparse arrays, one consisting of identical sparse subarrays and the other consisting of several uniform linear subarrays. Then, we give the feasibility analysis and the processes of applying spatial smoothing. At last, we discuss the performance of the number of detectable coherent signals in different sparse arrays. Numerical experiments prove the conclusions proposed by the paper.
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institution Kabale University
issn 1687-5869
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language English
publishDate 2021-01-01
publisher Wiley
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series International Journal of Antennas and Propagation
spelling doaj-art-e65b16d3f13846c2afe3c1811035134f2025-02-03T07:24:12ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772021-01-01202110.1155/2021/44475624447562The Analysis of Using Spatial Smoothing for DOA Estimation of Coherent Signals in Sparse ArraysHaiyun Xu0Weijia Cui1Yuxi Du2Fengtong Mei3Bin Ba4National Digital System Engineering and Technological Research R & D Center, Zhengzhou, Henan 450002, ChinaNational Digital System Engineering and Technological Research R & D Center, Zhengzhou, Henan 450002, ChinaNational Digital System Engineering and Technological Research R & D Center, Zhengzhou, Henan 450002, ChinaNational Digital System Engineering and Technological Research R & D Center, Zhengzhou, Henan 450002, ChinaNational Digital System Engineering and Technological Research R & D Center, Zhengzhou, Henan 450002, ChinaWhen there is coexistence of uncorrelated and coherent signals in sparse arrays, the conventional algorithms for direction-of-arrival (DOA) estimation using difference coarray fail. In order to solve the problems, this paper analyzes the feasibility of using spatial smoothing in sparse arrays. Firstly, we summarize the two types of sparse arrays, one consisting of identical sparse subarrays and the other consisting of several uniform linear subarrays. Then, we give the feasibility analysis and the processes of applying spatial smoothing. At last, we discuss the performance of the number of detectable coherent signals in different sparse arrays. Numerical experiments prove the conclusions proposed by the paper.http://dx.doi.org/10.1155/2021/4447562
spellingShingle Haiyun Xu
Weijia Cui
Yuxi Du
Fengtong Mei
Bin Ba
The Analysis of Using Spatial Smoothing for DOA Estimation of Coherent Signals in Sparse Arrays
International Journal of Antennas and Propagation
title The Analysis of Using Spatial Smoothing for DOA Estimation of Coherent Signals in Sparse Arrays
title_full The Analysis of Using Spatial Smoothing for DOA Estimation of Coherent Signals in Sparse Arrays
title_fullStr The Analysis of Using Spatial Smoothing for DOA Estimation of Coherent Signals in Sparse Arrays
title_full_unstemmed The Analysis of Using Spatial Smoothing for DOA Estimation of Coherent Signals in Sparse Arrays
title_short The Analysis of Using Spatial Smoothing for DOA Estimation of Coherent Signals in Sparse Arrays
title_sort analysis of using spatial smoothing for doa estimation of coherent signals in sparse arrays
url http://dx.doi.org/10.1155/2021/4447562
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