基于SAR图像匹配结果可信度评价的INS/SAR自适应Kalman滤波算法

doi:10.7527/S1000-6893.2019.22850

Abstract

Abstract: In Inertial Navigation System (INS)/Synthetic Aperture Radar (SAR) integrated navigation system, SAR image is susceptible to speckle noise. The accuracy of image matching has significant impact on the accuracy of the whole navigation system. It is especially important to accurately analyze the error characteristics in the SAR image matching process and to exploit the effective image matching information to assist the INS for integrated positioning. In response to the problems above, based on the weighted Hausdorff distance matching algorithm, the factors affecting the matching accuracy of SAR images are analyzed. Meanwhile, a set of criteria for credibility evaluation of matching results based on fuzzy reasoning is proposed, integrating the effective matching information with INS after credibility screening. Moreover, the variation of the matching error within a reasonable range will cause the statistical characteristics of the measurement noise to change, leading to the degradation of Kalman filtering accuracy. To address this problem, the improved Sage-Husa adaptive filtering method is adopted to dynamically adjust the measurement noise variance matrix closer to the current state of the system. The simulation verification platform is established to verify the proposed algorithm. The results indicate that the algorithm can effectively screen out the reliable image matching results within a reasonable range of matching error. Compared with the conventional Kalman filtering algorithm, the positioning accuracy of the INS/SAR integrated navigation system in the horizontal direction is significantly improved.

Key words: SAR image matching, credibility evaluation criteria, fuzzy reasoning, integrated navigation, adaptive filtering

CLC Number:

V243

ZHAO Yao, XIONG Zhi, TIAN Shiwei, LIU Jianye, CUI Yuchen. INS/SAR adaptive Kalman filtering algorithm based on credibility evaluation of SAR image matching results[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2019, 40(8): 322850-322850.

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INS/SAR adaptive Kalman filtering algorithm based on credibility evaluation of SAR image matching results

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