Joint multipath signals and noise reduction in passive radar
Abstract The paper considers the multipath signal and noise reduction problem in passive radar. A unified framework is provided for the joint reduction of multipath signals and noise in both Gaussian and non‐Gaussian circumstances. The traditional clutter cancellation methods are incorporated in thi...
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| Format: | Article |
| Language: | English |
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Wiley
2022-05-01
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| Series: | IET Signal Processing |
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| Online Access: | https://doi.org/10.1049/sil2.12100 |
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| _version_ | 1832546791728349184 |
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| author | Xiaoyong Lyu Yingqiang Ding |
| author_facet | Xiaoyong Lyu Yingqiang Ding |
| author_sort | Xiaoyong Lyu |
| collection | DOAJ |
| description | Abstract The paper considers the multipath signal and noise reduction problem in passive radar. A unified framework is provided for the joint reduction of multipath signals and noise in both Gaussian and non‐Gaussian circumstances. The traditional clutter cancellation methods are incorporated in this framework corresponding to the Gaussian circumstance. Based on this framework, a joint reduction method (JRM) is developed for suppressing the multipath signals and noise. Specifically, the cancellation of noise is explicitly discussed. Analytical analysis of the proposed method is included. An approximate implementation of the JRM (approximate implementation of the joint reduction method) which increases the computational efficiency is also provided. Simulations demonstrate the effectiveness of the proposed methods. |
| format | Article |
| id | doaj-art-27e36c7dcabd4f47ae6c78b675ad02c8 |
| institution | Kabale University |
| issn | 1751-9675 1751-9683 |
| language | English |
| publishDate | 2022-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj-art-27e36c7dcabd4f47ae6c78b675ad02c82025-02-03T06:47:12ZengWileyIET Signal Processing1751-96751751-96832022-05-0116336637610.1049/sil2.12100Joint multipath signals and noise reduction in passive radarXiaoyong Lyu0Yingqiang Ding1School of Information Engineering Zhengzhou University Zhengzhou ChinaSchool of Information Engineering Zhengzhou University Zhengzhou ChinaAbstract The paper considers the multipath signal and noise reduction problem in passive radar. A unified framework is provided for the joint reduction of multipath signals and noise in both Gaussian and non‐Gaussian circumstances. The traditional clutter cancellation methods are incorporated in this framework corresponding to the Gaussian circumstance. Based on this framework, a joint reduction method (JRM) is developed for suppressing the multipath signals and noise. Specifically, the cancellation of noise is explicitly discussed. Analytical analysis of the proposed method is included. An approximate implementation of the JRM (approximate implementation of the joint reduction method) which increases the computational efficiency is also provided. Simulations demonstrate the effectiveness of the proposed methods.https://doi.org/10.1049/sil2.12100approximate implementationGaussian and non‐Gaussian circumstancejoint reduction of multipath signals and noisepassive radar |
| spellingShingle | Xiaoyong Lyu Yingqiang Ding Joint multipath signals and noise reduction in passive radar IET Signal Processing approximate implementation Gaussian and non‐Gaussian circumstance joint reduction of multipath signals and noise passive radar |
| title | Joint multipath signals and noise reduction in passive radar |
| title_full | Joint multipath signals and noise reduction in passive radar |
| title_fullStr | Joint multipath signals and noise reduction in passive radar |
| title_full_unstemmed | Joint multipath signals and noise reduction in passive radar |
| title_short | Joint multipath signals and noise reduction in passive radar |
| title_sort | joint multipath signals and noise reduction in passive radar |
| topic | approximate implementation Gaussian and non‐Gaussian circumstance joint reduction of multipath signals and noise passive radar |
| url | https://doi.org/10.1049/sil2.12100 |
| work_keys_str_mv | AT xiaoyonglyu jointmultipathsignalsandnoisereductioninpassiveradar AT yingqiangding jointmultipathsignalsandnoisereductioninpassiveradar |