Robust Wiener filter‐based time gating method for detection of shallowly buried objects
Abstract A robust method for ultra‐wideband (UWB) imaging of buried shallow objects based on time gating, Wiener filtering, as well as constant false alarm rate (CFAR) is proposed. Moreover, it is demonstrated that Wiener filtering can be used as a clutter removal tool in UWB signal applications. Ba...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi-IET
2021-02-01
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| Series: | IET Signal Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/sil2.12011 |
| _version_ | 1797421788488007680 |
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| author | Ali Gharamohammadi Fereidoon Behnia Arash Shokouhmand George Shaker |
| author_facet | Ali Gharamohammadi Fereidoon Behnia Arash Shokouhmand George Shaker |
| author_sort | Ali Gharamohammadi |
| collection | DOAJ |
| description | Abstract A robust method for ultra‐wideband (UWB) imaging of buried shallow objects based on time gating, Wiener filtering, as well as constant false alarm rate (CFAR) is proposed. Moreover, it is demonstrated that Wiener filtering can be used as a clutter removal tool in UWB signal applications. Basically, the problem with time gating method is that the length of the timing window for unknown targets cannot be determined accurately in advance. In fact, it is a blind methodology and some targets can be missed due to a lack of pre‐knowledge about their depth. Imprecise window length selection leads to missing some parts of the target signals along with the clutter, which in turn increases the missed detection rate. Herein, an algorithm to tackle this problem is proposed by using a Wiener filter along with CFAR as a primary detector of the target positions employing average similarity function imaging. The time gating method is then built on top of the information achieved for the window length selection from the primary detection. The combination of the two steps provides better detection of shallowly buried objects with less missed detection of targets, besides having fewer artefacts in comparison to other methods. |
| first_indexed | 2024-03-09T07:22:27Z |
| format | Article |
| id | doaj.art-fa5d784495e940dc9716248c5fc3b8a7 |
| institution | Directory Open Access Journal |
| issn | 1751-9675 1751-9683 |
| language | English |
| last_indexed | 2024-03-09T07:22:27Z |
| publishDate | 2021-02-01 |
| publisher | Hindawi-IET |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj.art-fa5d784495e940dc9716248c5fc3b8a72023-12-03T07:19:46ZengHindawi-IETIET Signal Processing1751-96751751-96832021-02-01151283910.1049/sil2.12011Robust Wiener filter‐based time gating method for detection of shallowly buried objectsAli Gharamohammadi0Fereidoon Behnia1Arash Shokouhmand2George Shaker3Electrical and Computer Engineering Department University of Waterloo Ontario CanadaElectrical Engineering Department Sharif University Tehran IranDepartment of Electrical and Computer Engineering Stevens Institute of Technology Hoboken New Jersey USAElectrical and Computer Engineering Department University of Waterloo Ontario CanadaAbstract A robust method for ultra‐wideband (UWB) imaging of buried shallow objects based on time gating, Wiener filtering, as well as constant false alarm rate (CFAR) is proposed. Moreover, it is demonstrated that Wiener filtering can be used as a clutter removal tool in UWB signal applications. Basically, the problem with time gating method is that the length of the timing window for unknown targets cannot be determined accurately in advance. In fact, it is a blind methodology and some targets can be missed due to a lack of pre‐knowledge about their depth. Imprecise window length selection leads to missing some parts of the target signals along with the clutter, which in turn increases the missed detection rate. Herein, an algorithm to tackle this problem is proposed by using a Wiener filter along with CFAR as a primary detector of the target positions employing average similarity function imaging. The time gating method is then built on top of the information achieved for the window length selection from the primary detection. The combination of the two steps provides better detection of shallowly buried objects with less missed detection of targets, besides having fewer artefacts in comparison to other methods.https://doi.org/10.1049/sil2.12011buried object detectionclutterfiltering theoryobject detectionradar clutterradar detection |
| spellingShingle | Ali Gharamohammadi Fereidoon Behnia Arash Shokouhmand George Shaker Robust Wiener filter‐based time gating method for detection of shallowly buried objects IET Signal Processing buried object detection clutter filtering theory object detection radar clutter radar detection |
| title | Robust Wiener filter‐based time gating method for detection of shallowly buried objects |
| title_full | Robust Wiener filter‐based time gating method for detection of shallowly buried objects |
| title_fullStr | Robust Wiener filter‐based time gating method for detection of shallowly buried objects |
| title_full_unstemmed | Robust Wiener filter‐based time gating method for detection of shallowly buried objects |
| title_short | Robust Wiener filter‐based time gating method for detection of shallowly buried objects |
| title_sort | robust wiener filter based time gating method for detection of shallowly buried objects |
| topic | buried object detection clutter filtering theory object detection radar clutter radar detection |
| url | https://doi.org/10.1049/sil2.12011 |
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