Underdetermined DOA estimation of coherent signals based on denoising complex FastICA and sparse reconstruction
To solve the problem that most of the existing direction of arrival(DOA) estimation methods for coherent signals could not be used in the case of under determination, where the number of incident signals exceeds the number of sensors, a DOA estimation method combining complex fast independent compon...
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Editorial Department of Journal on Communications
2021-11-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021219/ |
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author | Jin HOU Yunzhe LI Tianyu LI |
author_facet | Jin HOU Yunzhe LI Tianyu LI |
author_sort | Jin HOU |
collection | DOAJ |
description | To solve the problem that most of the existing direction of arrival(DOA) estimation methods for coherent signals could not be used in the case of under determination, where the number of incident signals exceeds the number of sensors, a DOA estimation method combining complex fast independent component analysis (FastICA) and sparse reconstruction algorithm was proposed.When the number of uniform circular array(UCA) sensors was M, the DOA of M(M-1) incident signals could be estimatedat most.To solve the problem of poor separation effect of complex FastICA in the case of low signal-to-noise ratio(SNR), two general denoising complex FastICA algorithm were proposed, which could be used in the case of circular signal and non-circular signal.The results of simulation and measured data show that the proposed algorithm can estimate both coherent and incoherent signals in underdetermined cases.Compared with several existing algorithm, the proposed DOA estimation algorithm has good performance. |
format | Article |
id | doaj-art-c4082511423d4591979c6f2fda313b50 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2021-11-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-c4082511423d4591979c6f2fda313b502025-01-14T07:23:10ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-11-014217218159746214Underdetermined DOA estimation of coherent signals based on denoising complex FastICA and sparse reconstructionJin HOUYunzhe LITianyu LITo solve the problem that most of the existing direction of arrival(DOA) estimation methods for coherent signals could not be used in the case of under determination, where the number of incident signals exceeds the number of sensors, a DOA estimation method combining complex fast independent component analysis (FastICA) and sparse reconstruction algorithm was proposed.When the number of uniform circular array(UCA) sensors was M, the DOA of M(M-1) incident signals could be estimatedat most.To solve the problem of poor separation effect of complex FastICA in the case of low signal-to-noise ratio(SNR), two general denoising complex FastICA algorithm were proposed, which could be used in the case of circular signal and non-circular signal.The results of simulation and measured data show that the proposed algorithm can estimate both coherent and incoherent signals in underdetermined cases.Compared with several existing algorithm, the proposed DOA estimation algorithm has good performance.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021219/underdeterminedcomplex fast independent component analysissparse reconstructionDOA estimationdenoisingcoherent signal |
spellingShingle | Jin HOU Yunzhe LI Tianyu LI Underdetermined DOA estimation of coherent signals based on denoising complex FastICA and sparse reconstruction Tongxin xuebao underdetermined complex fast independent component analysis sparse reconstruction DOA estimation denoising coherent signal |
title | Underdetermined DOA estimation of coherent signals based on denoising complex FastICA and sparse reconstruction |
title_full | Underdetermined DOA estimation of coherent signals based on denoising complex FastICA and sparse reconstruction |
title_fullStr | Underdetermined DOA estimation of coherent signals based on denoising complex FastICA and sparse reconstruction |
title_full_unstemmed | Underdetermined DOA estimation of coherent signals based on denoising complex FastICA and sparse reconstruction |
title_short | Underdetermined DOA estimation of coherent signals based on denoising complex FastICA and sparse reconstruction |
title_sort | underdetermined doa estimation of coherent signals based on denoising complex fastica and sparse reconstruction |
topic | underdetermined complex fast independent component analysis sparse reconstruction DOA estimation denoising coherent signal |
url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021219/ |
work_keys_str_mv | AT jinhou underdetermineddoaestimationofcoherentsignalsbasedondenoisingcomplexfasticaandsparsereconstruction AT yunzheli underdetermineddoaestimationofcoherentsignalsbasedondenoisingcomplexfasticaandsparsereconstruction AT tianyuli underdetermineddoaestimationofcoherentsignalsbasedondenoisingcomplexfasticaandsparsereconstruction |