指挥控制与仿真
指揮控製與倣真
지휘공제여방진
COMMAND CONTROL & SIMULATION
2014年
4期
47-50,55
,共5页
张园%董受全%刘淑波%初俊博%高松
張園%董受全%劉淑波%初俊博%高鬆
장완%동수전%류숙파%초준박%고송
无迹卡尔曼滤波%自适应网格%交互式多模型%机动目标跟踪%变结构多模型
無跡卡爾曼濾波%自適應網格%交互式多模型%機動目標跟蹤%變結構多模型
무적잡이만려파%자괄응망격%교호식다모형%궤동목표근종%변결구다모형
unscented Kalman filter(UKF)%adaptive grid(AG)%interacting multiple model(IMM)%maneuvering target tracking%variable structure multiple model(VSMM)
针对非线性观测条件下的机动目标跟踪问题,基于机动目标的协同转弯( CT)模型,采用无迹卡尔曼滤波( UKF)方法和自适应网格( AG)的模型集自适应策略,研究了一种变结构交互式多模型算法,即基于UKF的自适应网格交互式多模型( UKF-AGIMM)算法。对二维机动目标跟踪的仿真结果表明,本算法与相应的固定结构交互式多模型算法相比,可以解决固定结构多模型算法存在的问题,有效提高多模型算法的精度和费效比,缩短计算时间,且适合工程应用。
針對非線性觀測條件下的機動目標跟蹤問題,基于機動目標的協同轉彎( CT)模型,採用無跡卡爾曼濾波( UKF)方法和自適應網格( AG)的模型集自適應策略,研究瞭一種變結構交互式多模型算法,即基于UKF的自適應網格交互式多模型( UKF-AGIMM)算法。對二維機動目標跟蹤的倣真結果錶明,本算法與相應的固定結構交互式多模型算法相比,可以解決固定結構多模型算法存在的問題,有效提高多模型算法的精度和費效比,縮短計算時間,且適閤工程應用。
침대비선성관측조건하적궤동목표근종문제,기우궤동목표적협동전만( CT)모형,채용무적잡이만려파( UKF)방법화자괄응망격( AG)적모형집자괄응책략,연구료일충변결구교호식다모형산법,즉기우UKF적자괄응망격교호식다모형( UKF-AGIMM)산법。대이유궤동목표근종적방진결과표명,본산법여상응적고정결구교호식다모형산법상비,가이해결고정결구다모형산법존재적문제,유효제고다모형산법적정도화비효비,축단계산시간,차괄합공정응용。
Devoted to the problem of maneuvering target tracking under nonlinear observation, a variable structure multiple model ( VSMM) algorithm called unscented Kalman filtering and adaptive grid interacting multiple model( UKF-AGIMM) is developed in this paper, which is based on the coordinated turn ( CT) models, unscented Kalman filtering ( UKF) method and model set adaptive strategy of adaptive grid ( AG) . Simulation results show that this algorithm can solve the problems of fixed structure multiple model ( FSMM) algorithm, effectively improve the accuracy and cost-efficiency ratio of the multiple model algorithm, reduce the computation time in contrast to corresponding fixed structure algorithm, and is suitable for engi-neering applications.