采用代价参考粒子滤波器估计天波雷达目标状态

doi:10.3969/j.issn.1001-2400.2013.05.004

Abstract

Abstract:

The cost-reference particle filter (CRPF) is applied for estimating the state sequence of the target in the over-the-horizon radar (OTHR), where the background noise level is high and obeys unknown distribution. On the basis of analyzing the resampling process and the sample impoverishment in the CRPF, it is proposed that the sample impoverishment can be alleviated by normalizing the costs and risks, or increasing the number of particles. And the tracking performance of the CRPF in OTHR target state estimates can be improved. Simulation results illustrate that, compared with the classical particle filters, the CRPF which needs none of the statistics of the signals in the system requires a smaller number of particles and consumes a less computational resource.

Key words: over-the-horizon radar, particle filter, state estimation, risk function, cost function

CLC Number:

TP302.7

LU Jin;SU Hongtao;SHUI Penglang. Target state estimation of the over-the-horizon radar using the cost-reference particle filter[J].J4, 2013, 40(5): 20-25+59.

References

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Target state estimation of the over-the-horizon radar using the cost-reference particle filter

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