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基于SRUKF的异类信源多模型跟踪算法
引用本文:高贵朋.基于SRUKF的异类信源多模型跟踪算法[J].火力与指挥控制,2012,37(6):55-58.
作者姓名:高贵朋
作者单位:江苏自动化研究所,江苏 连云港,222006
基金项目:海军武器装备“十一五”基金资助项目
摘    要:针对多传感器系统中基于冗余和互补信息的机动目标跟踪,以及传感器探测任务平稳交接问题,提出基于SRUKFIMM多信源综合滤波算法进行目标状态估计,提高了目标状态估计精度;并依据当前最新相关量测与滤波预测值的偏差等信息,进行自适应航迹升/降维控制。仿真结果表明:滤波输出稳定平滑、精度高,可有效降低部分信源采样缺失对目标跟踪稳定性的影响,具有较强的鲁棒性能。

关 键 词:SRUKF  交互多模型  升/降维

The Heterogeneity of Resource in Multiple Tracking Algorithm Based on SRUKF
GAO Gui-peng.The Heterogeneity of Resource in Multiple Tracking Algorithm Based on SRUKF[J].Fire Control & Command Control,2012,37(6):55-58.
Authors:GAO Gui-peng
Institution:GAO Gui-peng(Jiangsu Automation Research Institute,Lianyungang 222006,China)
Abstract:Aiming at multi-Sensor maneuvering target tracking based on redundancied information and task stable exchange,the SRUKF-IMM tracking algorithm is designed for estimating.Base on the windage from new measure and forecast,a adaptive control technology is designed for rising or lowering dimension.Simulation result shows that target tracking is steady and smooth.the precision of algorithm is high,which can availabilitily debase the influence because of absent information.
Keywords:SRUKF  interacting multiple model  rise/lower dimension
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