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| Citation: | Wei Qiang, Liu Zhong. A Radar Multi-target Tracking Algorithm Based on Gaussian Mixture PHD Filter under Doppler Blind Zone[J]. Journal of Radars, 2017, 6(1): 34-42. doi: 10.12000/JR16125
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A Radar Multi-target Tracking Algorithm Based on Gaussian Mixture PHD Filter under Doppler Blind Zone
doi: 10.12000/JR16125
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Abstract
Due to the Doppler Blind Zone (DBZ), the target tracking of Doppler radar becomes more and more complicated. In this paper, a multi-target tracking algorithm based on Gaussian Mixture Probability Hypothesis Density (GM-PHD) for DBZ is proposed. The algorithm introduces the Minimum Detectable Velocity (MDV) information to the traditional detection probability model to update the GM-PHD and the updated equation of the GM-PHD is deduced. The simulation results show that, compared to the traditional GM-PHD with the only Doppler measurement, the proposed algorithm improves greatly the radar tracking performance of moving target under the condition of minor MDV. -
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References
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- Figure 1. Sensor/target clutter distribution when the geometric clutter rate is 12.6×10–6
- Figure 2. The relationship of two goals Doppler with diffierent MDVs
- Figure 3. Real track and estimation of different algorithms (MDV=1)
- Figure 4. Comparison of tracking performance of different fliters (MDV=1)
- Figure 5. Comparison of tracking performance of different fliters (MDV=3)
- Figure 6. The comparison of absolute time and relative time performance of filters