基于IMM-MHT算法的杂波环境多机动目标跟踪  

Multiple Mobile Targets Tracking in Clutter Environment Based on IMM-MHT Algorithm

作　　者：邵俊伟[1] 同伟[2] 单奇[1] 

机构地区：[1]中国电子科技集团公司第38研究所,合肥230088 [2]陆军驻中电集团38所军事代表室,合肥230088

出　　处：《舰船电子对抗》2014年第2期87-90,93,共5页Shipboard Electronic Countermeasure

摘　　要：针对杂波环境下多机动目标的跟踪问题,提出将交互多模型(IMM)算法与多假设跟踪(MHT)算法结合,并运用Murty算法和假设树修剪方法进行假设生成和假设管理,提高IMM-MHT算法的实用性。仿真结果表明,IMM-MHT算法具有较高的正确关联率和较好的跟踪稳定性,且与只使用单模型的MHT算法相比,具有更好的跟踪精度。Aiming at the problem of tracking multiple mobile targets in clutter environment, this paper brings forward to combine the interactive multiple models （IMM） algorithm with the multiple hypotheses tracking （MHT） algorithm, and uses the Murty algorithm as well as the hypotheses tree pruning method to generate and manage hypotheses in order to improve the practicality of the IMM-MHT algorithm. As demonstrated by simulation result,the IMM-MHT algorithm has higher correct association ratio and better tracking stability,as well as better tracking accuracy compared with MHT algorithms only using single model.

关 键 词：数据关联 多假设跟踪 交互多模型 

分 类 号：TP957.51[自动化与计算机技术]