Distributed Target Detection with Coherent Fusion in Tracking Based on Phase Prediction
In distributed radar, a coherent system often gains attention for its higher detection potential in contrast to its non-coherent counterpart. However, even for a distributed coherent radar, it is difficult to coherently accumulate local observations in the searching mode if target returns in local c...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/24/4779 |
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| author | Aoya Wang Jing Lu Shenghua Zhou Linhai Wang |
| author_facet | Aoya Wang Jing Lu Shenghua Zhou Linhai Wang |
| author_sort | Aoya Wang |
| collection | DOAJ |
| description | In distributed radar, a coherent system often gains attention for its higher detection potential in contrast to its non-coherent counterpart. However, even for a distributed coherent radar, it is difficult to coherently accumulate local observations in the searching mode if target returns in local channels are decorrelated. In order to obtain the superiority of coherent processing while overcoming the real implementation difficulties of a coherent framework, this paper studies a distributed coherent detection algorithm for fusion detection. It is utilized in detecting a target during tracking while a target is searched for in a non-coherent manner. From historic observations on target tracking, relative phase delays in different channels are predicted by a phase lock loop and then used to compensate phases for observations in the current frame. Moreover, to enhance the detection performance of distributed radar during tracking, a switching rule between phase prediction-based coherent and non-coherent processing is proposed based on their detection performance. Numerical results indicate that the switching operation can improve the detection probability during tracking, and the non-coherent operation can still provide a moderate detection performance if the phase prediction is unreliable. |
| format | Article |
| id | doaj-art-57bd1e7fb51543e9aef43a68d4b00618 |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-57bd1e7fb51543e9aef43a68d4b006182025-08-20T02:01:09ZengMDPI AGRemote Sensing2072-42922024-12-011624477910.3390/rs16244779Distributed Target Detection with Coherent Fusion in Tracking Based on Phase PredictionAoya Wang0Jing Lu1Shenghua Zhou2Linhai Wang3National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaIn distributed radar, a coherent system often gains attention for its higher detection potential in contrast to its non-coherent counterpart. However, even for a distributed coherent radar, it is difficult to coherently accumulate local observations in the searching mode if target returns in local channels are decorrelated. In order to obtain the superiority of coherent processing while overcoming the real implementation difficulties of a coherent framework, this paper studies a distributed coherent detection algorithm for fusion detection. It is utilized in detecting a target during tracking while a target is searched for in a non-coherent manner. From historic observations on target tracking, relative phase delays in different channels are predicted by a phase lock loop and then used to compensate phases for observations in the current frame. Moreover, to enhance the detection performance of distributed radar during tracking, a switching rule between phase prediction-based coherent and non-coherent processing is proposed based on their detection performance. Numerical results indicate that the switching operation can improve the detection probability during tracking, and the non-coherent operation can still provide a moderate detection performance if the phase prediction is unreliable.https://www.mdpi.com/2072-4292/16/24/4779distributed radarcoherent detectionphase estimationphase lock loop |
| spellingShingle | Aoya Wang Jing Lu Shenghua Zhou Linhai Wang Distributed Target Detection with Coherent Fusion in Tracking Based on Phase Prediction Remote Sensing distributed radar coherent detection phase estimation phase lock loop |
| title | Distributed Target Detection with Coherent Fusion in Tracking Based on Phase Prediction |
| title_full | Distributed Target Detection with Coherent Fusion in Tracking Based on Phase Prediction |
| title_fullStr | Distributed Target Detection with Coherent Fusion in Tracking Based on Phase Prediction |
| title_full_unstemmed | Distributed Target Detection with Coherent Fusion in Tracking Based on Phase Prediction |
| title_short | Distributed Target Detection with Coherent Fusion in Tracking Based on Phase Prediction |
| title_sort | distributed target detection with coherent fusion in tracking based on phase prediction |
| topic | distributed radar coherent detection phase estimation phase lock loop |
| url | https://www.mdpi.com/2072-4292/16/24/4779 |
| work_keys_str_mv | AT aoyawang distributedtargetdetectionwithcoherentfusionintrackingbasedonphaseprediction AT jinglu distributedtargetdetectionwithcoherentfusionintrackingbasedonphaseprediction AT shenghuazhou distributedtargetdetectionwithcoherentfusionintrackingbasedonphaseprediction AT linhaiwang distributedtargetdetectionwithcoherentfusionintrackingbasedonphaseprediction |