Application of improved classical blind equalization algorithm in seismic signal processing

Abstract

A seismic blind equalization algorithm based on constant modulus algorithm was proposed to obtain seismic wavelet. The constant modulus blind equalization cost function applied to seismic signal was founded. The update of the weight vector was completed by introducing the second order Hessian matrix of cost function. The convergence rate was speeded up, and the performance of constant modulus algorithm was improved. Computer simulations demonstrate the effectiveness of the algorithm. Simulation results show the effectiveness of the algorithm. This method adapts to the non-minimum phase system, gets the optimal estimation of original reflection coefficient, and possesses quick convergence and high precision. It is an effective means to improve the analysis of seismic data. © 2012 Springer-Verlag GmbH.