Target positioning in moving platform with azimuth constraint

doi:10.13474/j.cnki.11-2246.2025.1205

Abstract

Abstract: Target localization based on moving platforms is a current research focus.However,due to limitations in sensor yaw angle errors and algorithm performance,target localization methods based on coordinate transformation still exhibit significant precision deficiencies.To address this,this paper proposes a nonlinear yaw optimization method that integrates the azimuth correction principle with coordinate transformation.Firstly,an azimuth correction model is constructed to address the inconsistency between the azimuth and yaw caused by the target being located off the principal point in the image.Next,the corrected azimuth constraint is combined with the coordinate transformation method to establish a nonlinear equation,and the Levenberg-Marquardt (LM)algorithm is used to iteratively optimize the yaw angle,effectively reducing yaw errors.Finally,Monte Carlo simulations and outdoor experiments are conducted to demonstrate the effectiveness of the algorithm.The results show that the proposed method can significantly eliminate yaw errors and achieve accurate target localization.

Key words: moving platform, target localization, coordinate transformation, azimuth correction, yaw optimize

CLC Number:

P235

QU Xinlang, FENG Jiemin, YE Yimin, SU Zhilong, DING Li, ZHANG Dongsheng. Target positioning in moving platform with azimuth constraint[J]. Bulletin of Surveying and Mapping, 2025, 0(12): 27-33,40.

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