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基于变步长增益调整的机动目标跟踪新算法 被引量:3

A new algorithm based on variable-step gain adjustment for maneuvering target tracking
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摘要 针对Singer模型的缺陷和“当前”统计模型存在的对弱机动目标跟踪能力较差的缺陷进行了改进,设计了一种新的加速度自适应模型;利用该模型设计出新的机动目标跟踪滤波算法,该算法对机动目标跟踪的综合性能有了较大的提高。在此基础上,为了减少滤波增益矩阵的计算量,使算法易于微机工程化实现,提出对滤波增益矩阵进行变步长调整的新方法,即通过在线检测算法确定何时有必要进行滤波增益的调整,而不需要每一步都计算增益矩阵,从而较多地降低了滤波算法的计算量。通过以上两个方面的改进,不仅提高了机动目标跟踪的精度,而且提高了目标跟踪的快速性和实时性。仿真验证表明该算法有良好的跟踪性能,而且计算量小,易于微机工程化实现。 Considering the limitation of Singer Model and the limitation of the current statistical model in less maneuvering target tracking, an accelerated adaptive tracking model is designed for improvement. The synthetical tracking capability is enhanced using the filter algorithm based on this model. Besides, filter gain matrix is adjusted with variable- step algorithm, i.e. the filter gain adjustment is decided through an on - linemonitoring algorithm, and the computation overheads of the filter algorithm are reduced greatly. After those improvements, the precision and the real - time performance of maneuvering target tracking are improved. Thesimulation results show that this algorithm is effective.
出处 《电光与控制》 北大核心 2005年第4期9-13,共5页 Electronics Optics & Control
基金 航空科学基金资助项目(30D12001)
关键词 机动目标跟踪 加速度自适应模型 变步长增益调整 滤波算法 maneuvering target tracking acceleration adaptive model variable - step gain adjustment filter algorithm
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  • 1李相民,范洪达,史建国.卡尔曼滤波的极坐标算法及应用[J].海军航空工程学院学报,2002,17(2):210-212. 被引量:3
  • 2崔宁周,谢维信,余雄南.多传感器分布式推广卡尔曼滤波算法及其在雷达红外目标跟踪中的应用[J].电子科学学刊,1997,19(3):289-294. 被引量:10
  • 3BAR- SHALOM Y, FORTMANN T E. Tracking and Data Association [ M ]. New York: Academic press, 1988.
  • 4BIRMIWAL K, BAR- SHALOM Y. Maneuver Target Tracking a Cluttered Environment with a Variable Dimension Filter[A]. IEEE Trans. on AES[ C] . 1984.635 - 645.
  • 5KIRUBARAJAN T, BAR- SHALOM Y. IMM PDA for Radar Management and Tracking Benchmark with ECM[A]. IEEE Trans. on AES[C]. 1998. 1115-1132.
  • 6RAROAQ M, BRUDER S. Information type filters for tracking a maneuvering target [ A ]. IEEE Trans. on AES [ C ].1990. 441 - 454.
  • 7ANDRISANI D, KUHL F P, GLEASON D. A nonlinear tracker using altitude measurements [ A ]. IEEE Trans. on AES[C]. 1986. 533- 539.
  • 8WANG T C, VARSHNEY P K. Measurement preprocessing for nonlinear target tracking[J]. IEE Proceedings - F, 1993,140(5) :316 - 322.
  • 9ARTHUR G O, MUTAMBARA. Decentralized Estimation and Control for Multisensor Systems[M]. Boca Raton Boston London, 1999.
  • 10王永富,黄显林,胡恒章.非线性预测滤波器在机动目标跟踪中的应用[J].系统工程与电子技术,2000,22(8):6-9. 被引量:4

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