A Kalman Filtering-Based Dynamic Programming Track-Before-Detect Algorithm for Turn Target

摘要：

Dynamic programming-based track-before-detect algorithm is an effective approach to track target with uniform rectilinear or slowly maneuvering motion. But when target performs a turn motion it has a poor performance for the transition step is fixed. In this paper a new algorithm which combines dynamic programming with Kalman filtering has been proposed. This algorithm makes use of state prediction operation in Kalman filtering to change the transition step in DP algorithm adaptively. Numerical results show that this new method has a much better tracking ability than the traditional procedure when target turns.

作者: Shuai Yue Lingjiang Kong Jianyu Yang Wei Yi

作者单位: School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China

会议类型: 国际会议

会议名称: 2010 International Conference on Communications,Circuits and Systems(2010年通信、电路与系统国际会议)

会议地点: 成都

会议语种:英文

页码: 449-452

在线出版日期: 2010-06-28（万方平台首次上网日期，不代表论文的发表时间）