跟踪机动目标的最小子模型集切换算法研究  

The MSMSS algorithm for tracking maneuvering target

作　　者：嵇成新[1] 万永峰[1] 陈阳[1] 陈晓峰[1] 

机构地区：[1]海军大连舰艇学院科研部,辽宁大连116018

出　　处：《舰船科学技术》2007年第4期137-142,共6页Ship Science and Technology

摘　　要：研究了机动目标跟踪的多模型(MM)方法,提出了一种新的多模型方法——最小子模型集切换(MSMSS)算法。这种算法从总模型集中自适应确定最小子模型集,用来进行多模型估计。仿真结果显示,和标准的交互式MM(IMM)相比,MSMSS算法在具备同等跟踪性能的前提下计算量很小,在计算量相同的情况下具有更好的跟踪性能。The multiple model（MM）approach to the maneuvering target tracking problem is considered. A new MM design,the minimal submodel-set switching（MSMSS） algorithm for tracking a maneuvering target is presented. The MSMSS algorithm adaptively determines the minimal set of models from the total model set and uses this to perform multiple model estimation. Simulation results demonstrate that, compared with a standard interacting MM （IMM） , the proposed algorithms require significantly lower computation while maintaining similar tracking performance. Alternatively, the new algorithm display significantly improved performance.

关 键 词：机动目标跟踪 变结构多模型 最小子模型集算法 

分 类 号：TN953[电子电信—信号与信息处理]