Hermitian Transform-Based Differencing Approach for Angle Estimation for Bistatic MIMO Radar Under Unknown Colored Noise Field
Most angle estimation methods developed until this day require knowledge of the noise covariance matrix to be known or to be within a certain multiplicative constant. In this paper, to resolve the influence of unknown colored noise of the bistatic multiple input multiple output radar system for the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9133546/ |
| _version_ | 1831558134541320192 |
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| author | Jurong Hu Evans Baidoo Ying Tian Bao Zeng |
| author_facet | Jurong Hu Evans Baidoo Ying Tian Bao Zeng |
| author_sort | Jurong Hu |
| collection | DOAJ |
| description | Most angle estimation methods developed until this day require knowledge of the noise covariance matrix to be known or to be within a certain multiplicative constant. In this paper, to resolve the influence of unknown colored noise of the bistatic multiple input multiple output radar system for the joint direction of departure (DOD) and direction of arrival (DOA) estimation problem, a new denoising technique based on Hermitian transform differencing method is introduced. Then, by deriving a conjugate reduce dimension MUSIC estimator, the DOD and DOA of the target are obtained. The proposed method presents no virtual aperture loss which translates into improved performance and has low computational load over several competing methods. Lastly, the derivation of the stochastic Cramer-Rao bound for the joint angle estimation under consideration is presented. Numerical simulation conducted under varying conditions verifies the effectiveness of the proposed approach. |
| first_indexed | 2024-12-17T05:03:56Z |
| format | Article |
| id | doaj.art-9792393b5c2241ed804d9a4a8df97fa9 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T05:03:56Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-9792393b5c2241ed804d9a4a8df97fa92022-12-21T22:02:28ZengIEEEIEEE Access2169-35362020-01-01812955312956110.1109/ACCESS.2020.30075479133546Hermitian Transform-Based Differencing Approach for Angle Estimation for Bistatic MIMO Radar Under Unknown Colored Noise FieldJurong Hu0https://orcid.org/0000-0003-4291-7020Evans Baidoo1https://orcid.org/0000-0002-1324-0877Ying Tian2https://orcid.org/0000-0003-1417-9438Bao Zeng3College of Computer and Information, Hohai University, Nanjing, ChinaCollege of Computer and Information, Hohai University, Nanjing, ChinaCollege of Computer and Information, Hohai University, Nanjing, ChinaCollege of Computer and Information, Hohai University, Nanjing, ChinaMost angle estimation methods developed until this day require knowledge of the noise covariance matrix to be known or to be within a certain multiplicative constant. In this paper, to resolve the influence of unknown colored noise of the bistatic multiple input multiple output radar system for the joint direction of departure (DOD) and direction of arrival (DOA) estimation problem, a new denoising technique based on Hermitian transform differencing method is introduced. Then, by deriving a conjugate reduce dimension MUSIC estimator, the DOD and DOA of the target are obtained. The proposed method presents no virtual aperture loss which translates into improved performance and has low computational load over several competing methods. Lastly, the derivation of the stochastic Cramer-Rao bound for the joint angle estimation under consideration is presented. Numerical simulation conducted under varying conditions verifies the effectiveness of the proposed approach.https://ieeexplore.ieee.org/document/9133546/DOD and DOA estimationcolored noisebistatic MIMO radarHermitian transformationMUSIC |
| spellingShingle | Jurong Hu Evans Baidoo Ying Tian Bao Zeng Hermitian Transform-Based Differencing Approach for Angle Estimation for Bistatic MIMO Radar Under Unknown Colored Noise Field IEEE Access DOD and DOA estimation colored noise bistatic MIMO radar Hermitian transformation MUSIC |
| title | Hermitian Transform-Based Differencing Approach for Angle Estimation for Bistatic MIMO Radar Under Unknown Colored Noise Field |
| title_full | Hermitian Transform-Based Differencing Approach for Angle Estimation for Bistatic MIMO Radar Under Unknown Colored Noise Field |
| title_fullStr | Hermitian Transform-Based Differencing Approach for Angle Estimation for Bistatic MIMO Radar Under Unknown Colored Noise Field |
| title_full_unstemmed | Hermitian Transform-Based Differencing Approach for Angle Estimation for Bistatic MIMO Radar Under Unknown Colored Noise Field |
| title_short | Hermitian Transform-Based Differencing Approach for Angle Estimation for Bistatic MIMO Radar Under Unknown Colored Noise Field |
| title_sort | hermitian transform based differencing approach for angle estimation for bistatic mimo radar under unknown colored noise field |
| topic | DOD and DOA estimation colored noise bistatic MIMO radar Hermitian transformation MUSIC |
| url | https://ieeexplore.ieee.org/document/9133546/ |
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