GNSS-Based Multi-Target RDM Simulation and Detection Performance Analysis
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| I publikationen: | Remote Sensing vol. 17, no. 15 (2025), p. 2607-2628 |
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| Huvudupphov: | |
| Övriga upphov: | , , , |
| Utgiven: |
MDPI AG
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| Ämnen: | |
| Länkar: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 001 | 3239079541 | ||
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| 022 | |a 2072-4292 | ||
| 024 | 7 | |a 10.3390/rs17152607 |2 doi | |
| 035 | |a 3239079541 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231556 |2 nlm | ||
| 100 | 1 | |a Li, Jinxing |u School of Physics, Xidian University, Xi’an 710071, China; jxli@xidian.edu.cn (J.L.); q_wang@stu.xidian.edu.cn (Q.W.) | |
| 245 | 1 | |a GNSS-Based Multi-Target RDM Simulation and Detection Performance Analysis | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This paper proposes a novel Global Navigation Satellite System (GNSS)-based remote sensing method for simulating Radar Doppler Map (RDM) features through joint electromagnetic scattering modeling and signal processing, enabling characteristic parameter extraction for both point and ship targets in multi-satellite scenarios. Simulations demonstrate that the B3I signal achieves a significantly enhanced range resolution (tens of meters) compared to the B1I signal (hundreds of meters), attributable to its wider bandwidth. Furthermore, we introduce an Unscented Particle Filter (UPF) algorithm for dynamic target tracking and state estimation. Experimental results show that four-satellite configurations outperform three-satellite setups, achieving <10 m position error for uniform motion and <18 m for maneuvering targets, with velocity errors within ±2 m/s using four satellites. The joint detection framework for multi-satellite, multi-target scenarios demonstrates an improved detection accuracy and robust localization performance. | |
| 653 | |a Accuracy | ||
| 653 | |a Signal processing | ||
| 653 | |a Maneuvering targets | ||
| 653 | |a Remote sensing | ||
| 653 | |a State estimation | ||
| 653 | |a Approximation | ||
| 653 | |a Localization | ||
| 653 | |a Tracking | ||
| 653 | |a Electromagnetic scattering | ||
| 653 | |a Velocity errors | ||
| 653 | |a Global positioning systems--GPS | ||
| 653 | |a Simulation | ||
| 653 | |a Satellite configurations | ||
| 653 | |a Fourier transforms | ||
| 653 | |a Target detection | ||
| 653 | |a Satellites | ||
| 653 | |a Methods | ||
| 653 | |a Algorithms | ||
| 653 | |a Satellite tracking | ||
| 653 | |a Radar | ||
| 653 | |a Global navigation satellite system | ||
| 653 | |a Parameter estimation | ||
| 653 | |a Position errors | ||
| 700 | 1 | |a Wang, Qi |u School of Physics, Xidian University, Xi’an 710071, China; jxli@xidian.edu.cn (J.L.); q_wang@stu.xidian.edu.cn (Q.W.) | |
| 700 | 1 | |a Wang, Meng |u Beijing Electro-Mechanical Engineering Institute, Beijing 100074, China; wangmeng8637@163.com (M.W.); wangyoucheng99@163.com (Y.W.) | |
| 700 | 1 | |a Wang, Youcheng |u Beijing Electro-Mechanical Engineering Institute, Beijing 100074, China; wangmeng8637@163.com (M.W.); wangyoucheng99@163.com (Y.W.) | |
| 700 | 1 | |a Zhang, Min |u School of Physics, Xidian University, Xi’an 710071, China; jxli@xidian.edu.cn (J.L.); q_wang@stu.xidian.edu.cn (Q.W.) | |
| 773 | 0 | |t Remote Sensing |g vol. 17, no. 15 (2025), p. 2607-2628 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3239079541/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3239079541/fulltextwithgraphics/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3239079541/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |