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| Citation: | LIU Chao, SUN Jinping, CHEN Xiaolong, et al. Random finite set-based extended target tracking method with amplitude information[J]. Journal of Radars, 2020, 9(4): 730–738. doi: 10.12000/JR19071
|
Random Finite Set-based Extended Target Tracking Method with Amplitude Information
DOI: 10.12000/JR19071
More Information-
Abstract
The random finite set-based extended target tracking methods generally partition measurements by spatial information. It is possible to place clutter measurements into target cells in a dense clutter environment resulting in degradation of tracking performance. To solve this issue, in this paper, the amplitude information of the target and clutter was introduced into the Gaussian Inverse Wishart Probability Hypothesis Density (GIW-PHD) filter, and thus, the optimal partition was found by calculating the amplitude likelihood of the measurement cells. Additionally, when calculating the centroid of a measurement cell, amplitude was used as a weighting factor to find the mass center instead of the widely used geometric center. This further reduced clutter interference. The tracking results of Swerling 1 fluctuating targets in a Rayleigh clutter when the signal-to-clutter ratios were 13 dB and 6 dB showed that the performance of the proposed algorithm in cardinality estimation and state estimation was better than that of the GIW-PHD filter. -
References
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LI Qiang and FAN Huaitao. Channel phase mismatch calibration for multichannel in azimuth SAR imaging aided by digital elevation model[J]. Journal of Radars, 2019, 8(5): 616–623. doi: 10.12000/JR19009
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- Figure 1. Measurements of the extended targets
- Figure 2. Real trajectories of the extended targets (SCR=13 dB)
- Figure 3. Track estimation of the GIW-PHD in a run (SCR=13 dB)
- Figure 4. Track estimation of the AI-GIW-PHD in a run (SCR=13 dB)
- Figure 5. Extended state estimation of the GIW-PHD in a run (SCR=13 dB)
- Figure 6. Extended state estimation of the AI-GIW-PHD in a run (SCR=13 dB)
- Figure 7. Averaged OSPA location error (SCR=13 dB)
- Figure 8. Averaged cardinality estimation (SCR=13 dB)
- Figure 9. Averaged OSPA cardinality error (SCR=13 dB)
- Figure 10. Averaged OSPA location error (SCR=6 dB)
- Figure 11. Averaged cardinality estimation (SCR=6 dB)
- Figure 12. Averaged OSPA cardinality error (SCR=6 dB)