文献类型：期刊文献

英文题名：Track-before-detect algorithm based on dynamic programming for multi-target tracking

作者：Huang, Dayu[1]; Guo, Yunfei[2]; Xue, Anke[2]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China; [2] Institute of Intelligence Information and Control Technology, National Defence Key Discipline Laboratory of Information Transmission and Fusion Technology, Hangzhou Dianzi University, Hangzhou, 310018, China

年份：2010

起止页码：498

外文期刊名：2010 8th IEEE International Conference on Control and Automation, ICCA 2010

收录：EI(收录号：20104213298271)

语种：英文

外文关键词：Signal to noise ratio - State estimation - Target tracking

摘要：A new dynamic programming based track before detect (DP-TBD) algorithm is presented to detect and track multi-target when SNR is low and target number is unknown. The technique combines the possible target state estimation using PDA with standard DP-TBD algorithm. And with the assumption that one measurement can originate from one target or clutter, the track separation phenomenon can be minimized and the target number can be obtained. Since the like-ratio function is not included in the merit function, the new method can be used without the priori information of the noise. Simulation results reveal that the new DP-TBD method has good performance when detecting target number and recovering target trajectories. ? 2010 IEEE.