• Electronics Optics & Control
  • Vol. 27, Issue 10, 22 (2020)
WEN Zhenming, LIU Songtao, and JIANG Ning
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2020.10.005 Cite this Article
    WEN Zhenming, LIU Songtao, JIANG Ning. Radar and Infrared Track Correlation Based on Optimal Track Membership[J]. Electronics Optics & Control, 2020, 27(10): 22 Copy Citation Text show less

    Abstract

    In order to realize the correct track correlation between radar and infrared sensor, a method for the track correlation based on the optimal track membership is proposed.Firstly, the angle information is taken as the measurement data to calculate the statistical distance between the tracks, and then the membership matrix of azimuth angle and pitch angle, and the resolution membership vector are constructed.The resolution membership vector is taken as the decision threshold and the maximum membership principle is adopted to execute the judgment on whether the tracks are correlated or not.The simulation results show that, the performance of the method based on the optimal track membership is obviously better than that of the nearest neighbor method and the weighted track association method in the application of the track association of radar and infrared sensor.Under the conditions with high target density and large sensor measurement error, it is slightly better than the fuzzy comprehensive function method, but the performance is more stable, with a correct correlation probability above 75%.
    WEN Zhenming, LIU Songtao, JIANG Ning. Radar and Infrared Track Correlation Based on Optimal Track Membership[J]. Electronics Optics & Control, 2020, 27(10): 22
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