Abstract:

A new dim target tracking algorithm named CPDA is proposed. The probabilistic data association algorithm is applied in the spatial domain multi resolution frame and target tracking is implemented at the coarse resolution level. Two dim target environments based on different false alarm numbers are designed. Simulation tests based on these environments are used to analyze the tracking performance of CPDA algorithm and compare it with the joint probabilistic data association algorithm in the mono resolution level. It is shown from the simulation results that when the performance of CPDA algorithm is almost identical to that of JPDA algorithm in a mono resolution level, the computation burden of CPDA algorithm is lower than that of JPDA algorithm.

Key words: tar get tr acking, data pr ocessing, spatial doma in multi- resolution, dim tar get tr acking, data association