Tracking of Radar Targets With In-Band Wireless Communication Interference in RadComm Spectrum Sharing
Radar and communication system (RadComm) spectrum sharing has received considerable attention from the research community in recent years. This paper considers the distributed radars present in the surveillance region with multiple in-band wireless communication transmitters (IWCTs). A new measureme...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9734041/ |
| _version_ | 1818353889199521792 |
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| author | Gunnery Srinath Bethi Pardhasaradhi Prashantha Kumar H. Pathipati Srihari |
| author_facet | Gunnery Srinath Bethi Pardhasaradhi Prashantha Kumar H. Pathipati Srihari |
| author_sort | Gunnery Srinath |
| collection | DOAJ |
| description | Radar and communication system (RadComm) spectrum sharing has received considerable attention from the research community in recent years. This paper considers the distributed radars present in the surveillance region with multiple in-band wireless communication transmitters (IWCTs). A new measurement model is proposed by considering both radar returns and returns due to IWCTs. The tracking performance is evaluated using the global nearest neighbor (GNN) tracker with an extended Kalman filter (EKF) for the received measurement set. A single radar case is considered, where near geometry scenario (IWCTs are placed near the radar and target) and far-geometry scenario (IWCTs are placed far from the radar and target) are considered to evaluate the tracking performance. It is observed that a large number of tracks are resulted due to IWCTs, and identifying the actual target track is ambiguous in a single radar case. Therefore, in the second case, multiple radars are placed to investigate the problem comprehensively. The track-to-track association (T2TA) is performed to identify the true target track on multiple tracks produced owing to the presence of IWCTs and the resulting tracks from all radars pertaining to the true targets. Once the true target tracks from each radar are identified, using the T2TA, the track-to-track fusion (T2TF) is carried out to improve the estimates of the true target. The simulation results are quantified with position root mean square error (PRMSE). The posterior Cramer–Rao lower bounds (PCRLBs) quantifying the achievable estimation accuracies are also presented. The simulation results reveal that the association and fusion of tracks from multiple radars identify the true target track with good accuracy and overcome the inability to determine the true track, as in the case of a single radar. Further, the results disclose that, as the number of radars increases, the T2TA and fusion improved the PRMSE. |
| first_indexed | 2024-12-13T19:16:42Z |
| format | Article |
| id | doaj.art-b6228809de2742eb8ac982d872b5fdbd |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T19:16:42Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-b6228809de2742eb8ac982d872b5fdbd2022-12-21T23:34:16ZengIEEEIEEE Access2169-35362022-01-0110319553196910.1109/ACCESS.2022.31596239734041Tracking of Radar Targets With In-Band Wireless Communication Interference in RadComm Spectrum SharingGunnery Srinath0https://orcid.org/0000-0002-4523-9678Bethi Pardhasaradhi1https://orcid.org/0000-0001-9677-506XPrashantha Kumar H.2Pathipati Srihari3https://orcid.org/0000-0001-9168-2753Department of ECE, National Institute of Technology Karnataka, Surathkal, Mangalore, IndiaDepartment of ECE, National Institute of Technology Karnataka, Surathkal, Mangalore, IndiaDepartment of ECE, National Institute of Technology Karnataka, Surathkal, Mangalore, IndiaDepartment of ECE, National Institute of Technology Karnataka, Surathkal, Mangalore, IndiaRadar and communication system (RadComm) spectrum sharing has received considerable attention from the research community in recent years. This paper considers the distributed radars present in the surveillance region with multiple in-band wireless communication transmitters (IWCTs). A new measurement model is proposed by considering both radar returns and returns due to IWCTs. The tracking performance is evaluated using the global nearest neighbor (GNN) tracker with an extended Kalman filter (EKF) for the received measurement set. A single radar case is considered, where near geometry scenario (IWCTs are placed near the radar and target) and far-geometry scenario (IWCTs are placed far from the radar and target) are considered to evaluate the tracking performance. It is observed that a large number of tracks are resulted due to IWCTs, and identifying the actual target track is ambiguous in a single radar case. Therefore, in the second case, multiple radars are placed to investigate the problem comprehensively. The track-to-track association (T2TA) is performed to identify the true target track on multiple tracks produced owing to the presence of IWCTs and the resulting tracks from all radars pertaining to the true targets. Once the true target tracks from each radar are identified, using the T2TA, the track-to-track fusion (T2TF) is carried out to improve the estimates of the true target. The simulation results are quantified with position root mean square error (PRMSE). The posterior Cramer–Rao lower bounds (PCRLBs) quantifying the achievable estimation accuracies are also presented. The simulation results reveal that the association and fusion of tracks from multiple radars identify the true target track with good accuracy and overcome the inability to determine the true track, as in the case of a single radar. Further, the results disclose that, as the number of radars increases, the T2TA and fusion improved the PRMSE.https://ieeexplore.ieee.org/document/9734041/Communication systemin-band interferenceradar systemspectrum sharingtarget trackingassociation |
| spellingShingle | Gunnery Srinath Bethi Pardhasaradhi Prashantha Kumar H. Pathipati Srihari Tracking of Radar Targets With In-Band Wireless Communication Interference in RadComm Spectrum Sharing IEEE Access Communication system in-band interference radar system spectrum sharing target tracking association |
| title | Tracking of Radar Targets With In-Band Wireless Communication Interference in RadComm Spectrum Sharing |
| title_full | Tracking of Radar Targets With In-Band Wireless Communication Interference in RadComm Spectrum Sharing |
| title_fullStr | Tracking of Radar Targets With In-Band Wireless Communication Interference in RadComm Spectrum Sharing |
| title_full_unstemmed | Tracking of Radar Targets With In-Band Wireless Communication Interference in RadComm Spectrum Sharing |
| title_short | Tracking of Radar Targets With In-Band Wireless Communication Interference in RadComm Spectrum Sharing |
| title_sort | tracking of radar targets with in band wireless communication interference in radcomm spectrum sharing |
| topic | Communication system in-band interference radar system spectrum sharing target tracking association |
| url | https://ieeexplore.ieee.org/document/9734041/ |
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