ACTA AERONAUTICAET ASTRONAUTICA SINICA >
A dual threshold particle PHD filter with unknown target birth intensity
Received date: 2015-01-21
Revised date: 2015-04-12
Online published: 2015-04-24
Supported by
National Natural Science Foundation of China (61471383); Equipment Pre-research Foundation (9140A07030514JB14001); Natural Science Foundation of Shandong Province (ZR2012FQ004)
In situations where the targets can appear anywhere in the surveillance region, the traditional probability hypothesis density (PHD), which assumes that the target birth intensity is known a priori, is inefficient any more. To overcome this problem, a dual threshold particle PHD (PHD-DT) filter with unknown target birth intensity is proposed. First, through an analysis of threshold selection, the threshold based on likelihood function is designed for measurement crude extraction and the circular threshold based on the last state estimation is set for refined extraction. Afterwards, according to the extraction results, the predication and update equations for persistent and newborn targets are derived by the decomposition of PHD. Finally, the implementation of the PHD-DT filter is presented. The simulation results show that PHD-DT filter, which avoids the track initiation error of Logic+JPDA and succeeds in reducing the overestimate problem of PHD-M, possesses higher estimation performance. Moreover, the stronger the clutters, the more significant performance advantage of PHD-DT filter.
XU Congan , LIU Yu , XIONG Wei , SONG Ruihua , LI Tianmei . A dual threshold particle PHD filter with unknown target birth intensity[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015 , 36(12) : 3957 -3969 . DOI: 10.7527/S1000-6893.2015.0104
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