机动目标跟踪中数据互联新方法
doi: 10.3724/SP.J.1146.2006.00017
A Novel Data Association Method for Maneuvering Target Tracking
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摘要: 为解决机动目标跟踪过程中的数据互联问题，该文提出了一种数据互联新方法。与概率数据互联滤波器不同，在进行数据互联时，该方法假定目标当前转弯率在某一范围内取值，这样其预测中心不再是一个点，而是一线段。在计算测量的权重系数时，采用的是测量距该线段的距离。仿真实验表明，杂波环境下对机动目标跟踪时，该方法降低了航迹丢失率，提高了状态估计的精度。
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关键词:
- 目标跟踪;数据互联;概率数据互联滤波器
Abstract: To solve the problem of data association in maneuvering target tracking, a new method of data association is proposed. Being different from the Probabilistic Data Association Filter (PDAF), the proposed method assumes that the current turn rate of a maneuvering target changes within a limited range in data association. Therefore, the forecasting center is not a point but a short line. The distance between a measurement and the short line is utilized to compute the weight factor of the measurement. Simulation results show that the proposed method reduces the percentage of lost tracks and improves the state estimating accuracy in tracking a maneuvering target under the circumstance of clutter. -
Bar-Shalom Y and Tse E. Tracking in a cluttered environment with probabilistic data association[J].Automatica.1975, 11(9):451-460[2]Colegrove S B and Davey S J. PADF with multiple clutter regions and target models[J]. IEEE Trans. on AES, 2003, 39(1): 110-124.[3]Bar-Shalom Y. Tracking a maneuvering using input estimation versus the interacting multiple model algorithm[J]. IEEE Trans. on AES, 1989, 25(2): 296-300.[4]何友，王国宏等。多传感器信息融合及应用[M]. 北京：电子工业出版社，2000年11月，第10章.[5]Kirubarajan T, Bar-Shalom Y, and Lerro D. Bearings-only tracking of maneuvering targets using a batch-recursive estimator[J]. IEEE Trans. on AES, 2001, 37(3): 770-780.[6]Wang H, Kirubarajan T, and Bar-Shalom Y. Precision large scale air traffic surveillance using IMM/assignment estimators[J]. IEEE Trans. on AES, 1999, 35(1): 255-266. -
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