Fast Multi-Scan Multi-Space Data Association for Multiple Targets Using Wavelet Transform
基于小波变换的快速多目标多帧多空间数据关联

A fast Multi-Scan Multi-Space Data Association (MSMSDA) algorithm for multiple targets is presented based on wavelet transform in this paper. With the introduction of wavelet transform, the data association is extended to multiple scan. The MSMSDA need not any prior knowledge and plays good performance in the complex clutter environment. The performance of the MSMSDA is evaluated in the multiple passive sensor multiple target tracking system in this paper. Simulations show that the proposed new algorithm has lower computational complexity and better performance of data association than the joint probabilistic data association (JPDA), etc., under complex clutter environment.