Maneuvering target track-before-detect viamultiple-model Bernoulli particle filter
来源期刊：中南大学学报(英文版)2015年第10期
论文作者：ZHAN Rong-hui LIU Sheng-qi HU Jie-min ZHANG Jun
文章页码：3935 - 3945
Key words：Bernoulli filter; multiple model; target maneuver; track-before-detect (TBD); sequential Monte Carlo (SMC) technique
Abstract: Target tracking using non-threshold raw data with low signal-to-noise ratio is a very difficult task, and the model uncertainty introduced by target’s maneuver makes it even more challenging. In this work, a multiple-model based method was proposed to tackle such issues. The method was developed in the framework of Bernoulli filter by integrating the model probability parameter and implemented via sequential Monte Carlo (particle) technique. Target detection was accomplished through the estimation of target’s existence probability, and the estimate of target state was obtained by combining the outputs of model- dependent filtering. The simulation results show that the proposed method performs better than the TBD method implemented by the conventional multiple-model particle filter.
ZHAN Rong-hui(占荣辉), LIU Sheng-qi(刘盛启), HU Jie-min(胡杰民), ZHANG Jun(张军)
(Science and Technology on Automatic Target Recognition Laboratory,
National University of Defense Technology, Changsha 410073, China)
Abstract:Target tracking using non-threshold raw data with low signal-to-noise ratio is a very difficult task, and the model uncertainty introduced by target’s maneuver makes it even more challenging. In this work, a multiple-model based method was proposed to tackle such issues. The method was developed in the framework of Bernoulli filter by integrating the model probability parameter and implemented via sequential Monte Carlo (particle) technique. Target detection was accomplished through the estimation of target’s existence probability, and the estimate of target state was obtained by combining the outputs of model- dependent filtering. The simulation results show that the proposed method performs better than the TBD method implemented by the conventional multiple-model particle filter.
Key words:Bernoulli filter; multiple model; target maneuver; track-before-detect (TBD); sequential Monte Carlo (SMC) technique
