Detection and Tracking of a Moving Target Using SAR Images with the Particle Filter-Based Track-Before-Detect Algorithm
A novel approach to detecting and tracking a moving target using synthetic aperture radar (SAR) images is proposed in this paper. Achieved with the particle filter (PF) based track-before-detect (TBD) algorithm, the approach is capable of detecting and tracking the low signal-to-noise ratio (SNR) mo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2014-06-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/14/6/10829 |
| _version_ | 1818033685706833920 |
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| author | Han Gao Jingwen Li |
| author_facet | Han Gao Jingwen Li |
| author_sort | Han Gao |
| collection | DOAJ |
| description | A novel approach to detecting and tracking a moving target using synthetic aperture radar (SAR) images is proposed in this paper. Achieved with the particle filter (PF) based track-before-detect (TBD) algorithm, the approach is capable of detecting and tracking the low signal-to-noise ratio (SNR) moving target with SAR systems, which the traditional track-after-detect (TAD) approach is inadequate for. By incorporating the signal model of the SAR moving target into the algorithm, the ambiguity in target azimuth position and radial velocity is resolved while tracking, which leads directly to the true estimation. With the sub-area substituted for the whole area to calculate the likelihood ratio and a pertinent choice of the number of particles, the computational efficiency is improved with little loss in the detection and tracking performance. The feasibility of the approach is validated and the performance is evaluated with Monte Carlo trials. It is demonstrated that the proposed approach is capable to detect and track a moving target with SNR as low as 7 dB, and outperforms the traditional TAD approach when the SNR is below 14 dB. |
| first_indexed | 2024-12-10T06:27:12Z |
| format | Article |
| id | doaj.art-cb129ce43fd74909a50a8e241610a3cc |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-12-10T06:27:12Z |
| publishDate | 2014-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-cb129ce43fd74909a50a8e241610a3cc2022-12-22T01:59:11ZengMDPI AGSensors1424-82202014-06-01146108291084510.3390/s140610829s140610829Detection and Tracking of a Moving Target Using SAR Images with the Particle Filter-Based Track-Before-Detect AlgorithmHan Gao0Jingwen Li1School of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaA novel approach to detecting and tracking a moving target using synthetic aperture radar (SAR) images is proposed in this paper. Achieved with the particle filter (PF) based track-before-detect (TBD) algorithm, the approach is capable of detecting and tracking the low signal-to-noise ratio (SNR) moving target with SAR systems, which the traditional track-after-detect (TAD) approach is inadequate for. By incorporating the signal model of the SAR moving target into the algorithm, the ambiguity in target azimuth position and radial velocity is resolved while tracking, which leads directly to the true estimation. With the sub-area substituted for the whole area to calculate the likelihood ratio and a pertinent choice of the number of particles, the computational efficiency is improved with little loss in the detection and tracking performance. The feasibility of the approach is validated and the performance is evaluated with Monte Carlo trials. It is demonstrated that the proposed approach is capable to detect and track a moving target with SNR as low as 7 dB, and outperforms the traditional TAD approach when the SNR is below 14 dB.http://www.mdpi.com/1424-8220/14/6/10829particle filter (PF)track-before-detect (TBD)detectiontrackingsynthetic aperture radar (SAR) |
| spellingShingle | Han Gao Jingwen Li Detection and Tracking of a Moving Target Using SAR Images with the Particle Filter-Based Track-Before-Detect Algorithm Sensors particle filter (PF) track-before-detect (TBD) detection tracking synthetic aperture radar (SAR) |
| title | Detection and Tracking of a Moving Target Using SAR Images with the Particle Filter-Based Track-Before-Detect Algorithm |
| title_full | Detection and Tracking of a Moving Target Using SAR Images with the Particle Filter-Based Track-Before-Detect Algorithm |
| title_fullStr | Detection and Tracking of a Moving Target Using SAR Images with the Particle Filter-Based Track-Before-Detect Algorithm |
| title_full_unstemmed | Detection and Tracking of a Moving Target Using SAR Images with the Particle Filter-Based Track-Before-Detect Algorithm |
| title_short | Detection and Tracking of a Moving Target Using SAR Images with the Particle Filter-Based Track-Before-Detect Algorithm |
| title_sort | detection and tracking of a moving target using sar images with the particle filter based track before detect algorithm |
| topic | particle filter (PF) track-before-detect (TBD) detection tracking synthetic aperture radar (SAR) |
| url | http://www.mdpi.com/1424-8220/14/6/10829 |
| work_keys_str_mv | AT hangao detectionandtrackingofamovingtargetusingsarimageswiththeparticlefilterbasedtrackbeforedetectalgorithm AT jingwenli detectionandtrackingofamovingtargetusingsarimageswiththeparticlefilterbasedtrackbeforedetectalgorithm |