›› 2016, Vol. 29 ›› Issue (6): 51-.
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YANG Junling
Online:
Published:
Abstract:
In passive locating and tracking system, the emergence of outlier has a bad influence in both the stability and the precision of the filtering. In order to solve this problem, a method for the outlier detection and elimination based the conception of innovation likelihood is proposed. Given a threshold, the innovation likelihood is calculated in the update of the Kalman filter to aim at the detection and elimination of the outlier. The proposed algorithm plays a good performance in passive locating and tracking system with outlier.
Key words: locating and tracking;outlier;innovation likelihood;kalman filter
CLC Number:
YANG Junling. Method of Detecting and Rejecting Outliers in Passive Locating and Tracking[J]., 2016, 29(6): 51-.
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https://journal.xidian.edu.cn/dzkj/EN/Y2016/V29/I6/51
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