Sparse Reconstruction-Based Target Localization with Distributed Waveform-Diverse Array Radars
This paper addresses the problem of target localization in a distributed waveform diverse array radar system, exploiting the technique of sparse reconstruction. At the configuration stage, the distributed radar system consists of two individual Frequency Diverse Array Multiple-Input Multiple-Output...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/13/2278 |
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| author | Runlong Ma Lan Lan Guisheng Liao Jingwei Xu Fa Wei Ximin Li |
| author_facet | Runlong Ma Lan Lan Guisheng Liao Jingwei Xu Fa Wei Ximin Li |
| author_sort | Runlong Ma |
| collection | DOAJ |
| description | This paper addresses the problem of target localization in a distributed waveform diverse array radar system, exploiting the technique of sparse reconstruction. At the configuration stage, the distributed radar system consists of two individual Frequency Diverse Array Multiple-Input Multiple-Output (FDA-MIMO) radars and one single Element-Pulse Coding MIMO (EPC-MIMO) radar. To obtain the angle and incremental range (i.e., the range offset between the sampling point and actual position within the range bin) of the targets in each local radar, two sparse reconstruction-based algorithms, including the grid-based Iterative Adaptive Approach (IAA) and gridless Atomic Norm Minimization (ANM) algorithms, are implemented. Furthermore, multiple sets of local statistics are fused at the fusion center, where a Weighted Least Squares (WLS) method is performed to localize targets. At the analysis stage, the estimation performance of the proposed methods, encompassing both IAA and ANM algorithms, is evaluated in contrast to the Cramér–Rao Bound (CRB). Numerical results and parametric studies are provided to demonstrate the effectiveness of the proposed sparse reconstruction methods for target localization in the distributed waveform diverse array system. |
| format | Article |
| id | doaj-art-46d4ff3b56884eb4b19bd2fcc43bd1c4 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-46d4ff3b56884eb4b19bd2fcc43bd1c42025-08-20T03:28:59ZengMDPI AGRemote Sensing2072-42922025-07-011713227810.3390/rs17132278Sparse Reconstruction-Based Target Localization with Distributed Waveform-Diverse Array RadarsRunlong Ma0Lan Lan1Guisheng Liao2Jingwei Xu3Fa Wei4Ximin Li5National 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, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaThis paper addresses the problem of target localization in a distributed waveform diverse array radar system, exploiting the technique of sparse reconstruction. At the configuration stage, the distributed radar system consists of two individual Frequency Diverse Array Multiple-Input Multiple-Output (FDA-MIMO) radars and one single Element-Pulse Coding MIMO (EPC-MIMO) radar. To obtain the angle and incremental range (i.e., the range offset between the sampling point and actual position within the range bin) of the targets in each local radar, two sparse reconstruction-based algorithms, including the grid-based Iterative Adaptive Approach (IAA) and gridless Atomic Norm Minimization (ANM) algorithms, are implemented. Furthermore, multiple sets of local statistics are fused at the fusion center, where a Weighted Least Squares (WLS) method is performed to localize targets. At the analysis stage, the estimation performance of the proposed methods, encompassing both IAA and ANM algorithms, is evaluated in contrast to the Cramér–Rao Bound (CRB). Numerical results and parametric studies are provided to demonstrate the effectiveness of the proposed sparse reconstruction methods for target localization in the distributed waveform diverse array system.https://www.mdpi.com/2072-4292/17/13/2278distributed waveform-diverse array radarstarget localizationsparse reconstructionIAAANMincrement range and angle estimation |
| spellingShingle | Runlong Ma Lan Lan Guisheng Liao Jingwei Xu Fa Wei Ximin Li Sparse Reconstruction-Based Target Localization with Distributed Waveform-Diverse Array Radars Remote Sensing distributed waveform-diverse array radars target localization sparse reconstruction IAA ANM increment range and angle estimation |
| title | Sparse Reconstruction-Based Target Localization with Distributed Waveform-Diverse Array Radars |
| title_full | Sparse Reconstruction-Based Target Localization with Distributed Waveform-Diverse Array Radars |
| title_fullStr | Sparse Reconstruction-Based Target Localization with Distributed Waveform-Diverse Array Radars |
| title_full_unstemmed | Sparse Reconstruction-Based Target Localization with Distributed Waveform-Diverse Array Radars |
| title_short | Sparse Reconstruction-Based Target Localization with Distributed Waveform-Diverse Array Radars |
| title_sort | sparse reconstruction based target localization with distributed waveform diverse array radars |
| topic | distributed waveform-diverse array radars target localization sparse reconstruction IAA ANM increment range and angle estimation |
| url | https://www.mdpi.com/2072-4292/17/13/2278 |
| work_keys_str_mv | AT runlongma sparsereconstructionbasedtargetlocalizationwithdistributedwaveformdiversearrayradars AT lanlan sparsereconstructionbasedtargetlocalizationwithdistributedwaveformdiversearrayradars AT guishengliao sparsereconstructionbasedtargetlocalizationwithdistributedwaveformdiversearrayradars AT jingweixu sparsereconstructionbasedtargetlocalizationwithdistributedwaveformdiversearrayradars AT fawei sparsereconstructionbasedtargetlocalizationwithdistributedwaveformdiversearrayradars AT ximinli sparsereconstructionbasedtargetlocalizationwithdistributedwaveformdiversearrayradars |