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Vol. 174, Issue 7, July 2014, pp. 279-284




Adaptive Maneuvering Target Tracking Algorithm

1 Chunling Wu, 1 Yongfeng Ju, 1 Panzhi Liu, 2 Chongzhao Han

1 Chang’an University, Middle Section of Nan Erhuan Road, Xi'an City, Shaanxi, 710064, P. R. China
2 Xi’an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, P. R. China

Received: 2 May 2014 /Accepted: 30 June 2014 /Published: 31 July 2014

Digital Sensors and Sensor Sysstems


Abstract: Based on the current statistical model, a new adaptive maneuvering target tracking algorithm, CS-MSTF, is presented. The new algorithm keep the merits of high tracking precision that the current statistical model and strong tracking filter (STF) have in tracking maneuvering target, and made the modifications as such: First, STF has the defect that it achieves the perfect performance in maneuvering segment at a cost of the precision in non-maneuvering segment, so the new algorithm modified the prediction error covariance matrix and the fading factor to improve the tracking precision both of the maneuvering segment and non-maneuvering segment; The estimation error covariance matrix was calculated using the Joseph form, which is more stable and robust in numerical. The Monte- Carlo simulation shows that the CS-MSTF algorithm has a more excellent performance than CS-STF and can estimate efficiently.


Keywords: Current statistic model, Maneuvering target tracking, Strong tracking filter, Adaptive filtering.


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