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基于多传感器数据融合的机动目标跟踪算法研究 被引量:5

Maneuvering Target Tracking Based on Fusion of Multi-sensor
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摘要 在分析了机动目标跟踪的重要地位之后,探讨了两种时下常用的机动目标跟踪的方法,基于自适应相互作用多模型的算法和α-β滤波算法,试图对基于多传感器的机动目标跟踪和识别算法构建一个轮廓和框架。 This paper mainly introduces a new multi - sensor combination. It is based on the theories of central and uncentral adjudgement and uses the algorithm of partial combination. Aiming at the shortcomings that the available algorithms of maneuvering target tracking requires for very high calculation accuracy, this paper presents a modified α - β filtering algorithm and IMM algorithm. The α - β fitering algorithm utilizes the target aueleration by using the information obtained and adds it in the state quition for α - β filter to track maneuvering target. The paper tries to form a diagram for maneuvering target tracking based on fusion ,fusion of multi-sensor.
出处 《探测与控制学报》 CSCD 北大核心 2006年第5期43-45,共3页 Journal of Detection & Control
关键词 多传感器系统 数据融合 机动目标跟踪 IMM α-β滤波算法 multi- sensor combination data fusion maneuvering target IMM filtering algorithm
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参考文献5

  • 1Bar-shalom Y,Birmiwal K.Variable Dimension Filter for Maneuvering Target tracking[J].IEEE Trans AES,1982,18(5):621-629.
  • 2Chen Y T,Hu A G C,Plant JB.A Kalman Filter Based Tracking Schema with input Estimation[J].IEEE Trans AES,1979,15(2):137-244.
  • 3Yang Chunling.Research on fusion algorithm for multisensor target tracking in nonlinear system[J].PIE 3692,2002,14(3):279-287.
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  • 5Yaakov Bar-Shalom,LI X-Rong.Estimation with Applications to Tracking and Navigation[M].New York:A Wiley-Interscience Publication,2001.

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