Research on A New Algorithm of Target Tracking
A new algorithm for the problem of tracking multiple maneuvering targets in the presence of clutter is proposed, through extending the IMM/Mscan-JPDA filtering algorithm, to the fixed-lag smoothing case. A suboptimal fixed-lag smoothing algorithm is developed by applying the IMM and the multiscan JPDA approaches to a state augmented system. The proposed algorithm is illustrated via a simulation example involving tracking of two maneuvering targets, a multiscan data window of length two, and a fixed-lag delay~(d=1).It turns out that even a small time lag of samples results in a significant improvement in the track state estimation accuracy.
target tracking joint probabilistic data association (JPDA) interacting multiple model(IMM) multiple scan(mscan) IMM/Mscan-JPDA fixed-lag smoothing
Li-feng Qi Guang-long Jiao Jian-feng Tao Xiao-ping Xi
The missile institute of Air force Engineering University Sanyuan, Shaanxi 713800, P.R.China
国际会议
太原
英文
26-30
2010-10-22(万方平台首次上网日期,不代表论文的发表时间)