雷达科学与技术2011，Vol.9Issue(6)：525-530,536,7.
基于道路约束的粒子滤波检测前跟踪算法
An Efficient Particle Filter Track-Before-Detect Algorithm with Road Constraints
摘要
Abstract
The standard multiple model(MM) particle filter(PF) track-before-detect(TBD) algorithm (MM-PFTBD) with a fixed structure and number of movement models has been become a popular and efficient approach to detect and track the maneuverable weak target in the much lower signal-to-noise ratio (SNR). But the performance of the detection and tracking is degraded owing to the competition among the movement models when the number of movement models is great. Then a novel TBD algorithm with variable structure MM-PF approach( VS-MM-PFTBD) is presented by utilizing the road information. The model set not only depending on the target state but also relating to the road information available is updated and varies adaptively so as to choose the effective model set and reduce the number of the movement models. In addition, target velocity constraints can be applied effectively along the directions of the different roads. Finally, the simulation results show that the VS-MM-PFTBD outperforms the standard MM-PFTBD using a fixed model structure without the road information.关键词
粒子滤波/检测前跟踪/道路信息/变结构多模型Key words
particle filter/ track-before-detect (TBD)/ road information/ variable structure multiple models(VS-MM)分类
信息技术与安全科学引用本文复制引用
王峰,孔令讲,杨晓波..基于道路约束的粒子滤波检测前跟踪算法[J].雷达科学与技术,2011,9(6):525-530,536,7.基金项目
总装重点基金资助项目(No.9140A07050908) （No.9140A07050908）
