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Acta Armamentarii ›› 2020, Vol. 41 ›› Issue (7): 1330-1338.doi: 10.3969/j.issn.1000-1093.2020.07.010

• Paper • Previous Articles     Next Articles

Two-stage Real-time Track Correlation Algorithm Based on Gray Correlation

JIN Bingyang, LIU Zheng, QIN Jikai   

  1. (National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, Shaanxi, China)
  • Received:2019-07-21 Revised:2019-07-21 Online:2020-09-23

Abstract: For the multi-mode composite seeker, the track correlation mistakes tend to happen using the traditional track correlation algorithms when the tracks of multiple targets cross. A novel two-stage real-time track correlation algorithm is proposed based on the gray correlation degree. A gray correlation coefficient matrix is formed by the gray correlation degree between tracks, and the calculation of gray correclation is modified according to the characteristic of track correlation. The gray correlation coefficient matrix is modified by a two-stage track correlation discrimination using the similarity of the overall motions of target tracks and the local property during the latest period of current time. Finally, the maximum criterion of gray correlation degree is exploited to obtain the track correlation pair. The simulated results show that the proposed algorithm can be used to correctly correlate the tracks when the sensors obtain wrong track data due to track crossing or target jamming. Key

Key words: compositeseeker, two-stagetrackcorrelation, graycorrelationdegree, maximumcriterion

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