摘要
鉴于传统的机动目标跟踪检测方法往往有滞后,而快速进行模型切换则可能降低滤波器的可靠性等不足,引入交互多模(IMM)算法对边坡监测数据进行处理,并在此基础上给出了一种卡尔曼滤波平滑算法,通过实例仿真结果表明了其有效性。
In view of the inadequatance of traditional mobile target tracking methods that mobile detection is often lagged behind, and quickly switch model may reduce the reliability of filter, the introduction of interactive multimode(IMM) algorithmis used in slope monitoring data processing. The simulation results show that it is effective.
出处
《传感器与微系统》
CSCD
北大核心
2009年第4期114-116,共3页
Transducer and Microsystem Technologies
基金
辽宁省科技攻关计划资助项目(2007231003
2006220019)
辽宁省优秀人才基金资助项目(2005219005
2007R24)
关键词
交互多模算法
边坡变形
目标跟踪
Klman滤波
interactive multi-model( IMM ) algorithm
rock deformation
target tracking
Klman filtering