噪声环境中磁异探测的目标精确定位技术OA

To achieve precise target localization under noisy environments,this paper proposes an L2-norm weighted Euler deconvolution method.The weight coefficients are determined by computing the L2 norm of the magnetic anomaly gradients at each observation point within a sliding window,thereby effectively suppressing the influence of noise terms in the construction of the localization equations and enhancing the solution stability.Theoretical simulation experiments demonstrate that the proposed method yields stable localization results under noisy conditions,with the total spatial localization error reduced from 120.3 m using the conventional Euler localization method to 8.6 m.Furthermore,the proposed method is applied to magnetic anomaly data measured in a field area in western China for target localization,and it successfully retrieves both the horizontal positions and depths of the targets.Both synthetic and real-data results indicate that the proposed weighted Euler deconvolution method can effectively mitigate noise interference and provide more stable and accurate target position parameters under low signal-to-noise ratio conditions,thus offering reliable technical support for airborne magnetic submarine detection and covert magnetic target exploration.