DOA Estimation for Sources with Large Power Differences
Sources with large power differences are very common, especially in complex electromagnetic environments. Classical DOA estimation methods suffer from performance degradation in terms of resolution when dealing with sources that have large power differences. In this paper, we propose an improved DOA...
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Format: | Article |
Language: | English |
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Wiley
2021-01-01
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Series: | International Journal of Antennas and Propagation |
Online Access: | http://dx.doi.org/10.1155/2021/8862789 |
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author | Qingyuan Fang Mengzhe Jin Weidong Liu Yong Han |
author_facet | Qingyuan Fang Mengzhe Jin Weidong Liu Yong Han |
author_sort | Qingyuan Fang |
collection | DOAJ |
description | Sources with large power differences are very common, especially in complex electromagnetic environments. Classical DOA estimation methods suffer from performance degradation in terms of resolution when dealing with sources that have large power differences. In this paper, we propose an improved DOA algorithm to increase the resolution performance in resolving such sources. The proposed method takes advantage of diagonal loading and demonstrates that the invariant property of noise subspace still holds after diagonal loading is performed. We also find that the Cramer–Rao bound of the weak source can be affected by the power of the strong source, and this has not been noted before. The Cramer–Rao bound of the weak source deteriorates as the power of the strong source increases. Numerical results indicate that the improved algorithm increases the probability of resolution while maintaining the estimation accuracy and computational complexity. |
format | Article |
id | doaj-art-d1a8e48b08384bf09741af42b98b6208 |
institution | Kabale University |
issn | 1687-5869 1687-5877 |
language | English |
publishDate | 2021-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Antennas and Propagation |
spelling | doaj-art-d1a8e48b08384bf09741af42b98b62082025-02-03T01:05:33ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772021-01-01202110.1155/2021/88627898862789DOA Estimation for Sources with Large Power DifferencesQingyuan Fang0Mengzhe Jin1Weidong Liu2Yong Han3Hebei Key Laboratory for Electromagnetic Environmental Effects and Information Processing, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaHebei Key Laboratory for Electromagnetic Environmental Effects and Information Processing, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaHebei Key Laboratory for Electromagnetic Environmental Effects and Information Processing, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaSchool of Information Science and Engineering, Harbin Institute of Technology, Weihai 264209, ChinaSources with large power differences are very common, especially in complex electromagnetic environments. Classical DOA estimation methods suffer from performance degradation in terms of resolution when dealing with sources that have large power differences. In this paper, we propose an improved DOA algorithm to increase the resolution performance in resolving such sources. The proposed method takes advantage of diagonal loading and demonstrates that the invariant property of noise subspace still holds after diagonal loading is performed. We also find that the Cramer–Rao bound of the weak source can be affected by the power of the strong source, and this has not been noted before. The Cramer–Rao bound of the weak source deteriorates as the power of the strong source increases. Numerical results indicate that the improved algorithm increases the probability of resolution while maintaining the estimation accuracy and computational complexity.http://dx.doi.org/10.1155/2021/8862789 |
spellingShingle | Qingyuan Fang Mengzhe Jin Weidong Liu Yong Han DOA Estimation for Sources with Large Power Differences International Journal of Antennas and Propagation |
title | DOA Estimation for Sources with Large Power Differences |
title_full | DOA Estimation for Sources with Large Power Differences |
title_fullStr | DOA Estimation for Sources with Large Power Differences |
title_full_unstemmed | DOA Estimation for Sources with Large Power Differences |
title_short | DOA Estimation for Sources with Large Power Differences |
title_sort | doa estimation for sources with large power differences |
url | http://dx.doi.org/10.1155/2021/8862789 |
work_keys_str_mv | AT qingyuanfang doaestimationforsourceswithlargepowerdifferences AT mengzhejin doaestimationforsourceswithlargepowerdifferences AT weidongliu doaestimationforsourceswithlargepowerdifferences AT yonghan doaestimationforsourceswithlargepowerdifferences |