为了解决现代通信信道的码间干扰问题,提出了一种基于新拟牛顿法的自适应均衡算法,该算法用对称正定Hesse矩阵代替传统LMS/Newton法自相关矩阵的逆估计,克服了传统自相关矩阵估计误差对算法收敛性能的影响.信道均衡仿真结果表明,该算法具有较快的收敛速度和较低的误码率. In order to solve the problem of intersymbol interference in modern communication channels, an adaptive equalization algorithm based on the new quasi-Newton method is proposed. This algorithm substitutes the symmetric positive definite Hesse matrix to replace the inverse estimation of the traditional LMS / Newton autocorrelation matrix, The effect of the correlation matrix estimation error on the convergence performance of the algorithm.The channel equalization simulation results show that the algorithm has faster convergence rate and lower error rate.