When multi-radar track-to-track fusion is in clutter, the cross-covariance of errors of local estimates is unavailable. A target existence probability based track-to-track fusion method is proposed to improve the tracking accuracy. First, based on the integrated probability data association, we can estimate the set of target track estimation and the corresponding probability of the target existence of a single receiver. Then, when the cross-covariance of errors of local estimates is unavailable, based on the PTE information, we propose a generalized convex combination track-to-track fusion algorithm that is without memory. Furthermore, we give feedback to the fusion state of the previous frame, proposing an integrated generalized convex combination track-to-track fusion algorithm with memory. Simulation results demonstrated the effectiveness of the proposed method.
ZHANG Tianyu
,
ZHENG Jian
,
TIAN Zhuoer
,
RONG Yingjiao
,
GUO Yunfei
,
SHENTU Han
. Target existence probability based multi-radar track-to-track fusion algorithm[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2019
, 40(8)
: 322848
-322848
.
DOI: 10.7527/S1000-6893.2019.22848
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