摘要：Joint inversion based on a correlation constraint utilizes a linear correlation function as a structural *** linear correlation function contains a denominator,which may result in a singularity as the objective function is optimized,leading to an unstable inversion *** improve the robustness of this calculation,this paper proposes a new method in which a sinusoidal correlation function is employed as the structural constraint for joint inversion instead of the conventional linear correlation *** structural constraint does not contain a denominator,thereby preventing a *** with the joint inversion method based on a cross-gradient constraint,the joint inversion method based on a sinusoidal correlation constraint exhibits good *** application to actual data demonstrates that this method can process real data.