CAJ | 학술논문

针对基于箕舌线变步长LMS算法步长更新公式易受噪声干扰的问题，根据高斯白噪声的零均值特性，提出基于零均值特性的箕舌线变步长LMS算法，使算法的抗噪声干扰能力增强。若2算法选取相同参数α、β，则基于零均值特性的箕舌线变步长LMS算法相对于箕舌线变步长LMS算法具有小的稳态误差。在保证算法收敛的条件下，基于零均值特性的箕舌线变步长LMS算法相对箕舌线变步长LMS算法具有较快的收敛速度。
침대기우기설선변보장LMS산법보장경신공식역수조성간우적문제，근거고사백조성적령균치특성，제출기우령균치특성적기설선변보장LMS산법，사산법적항조성간우능력증강。약2산법선취상동삼수α、β，칙기우령균치특성적기설선변보장LMS산법상대우기설선변보장LMS산법구유소적은태오차。재보증산법수렴적조건하，기우령균치특성적기설선변보장LMS산법상대기설선변보장LMS산법구유교쾌적수렴속도。
The tonguelike curve VSLMS algorithm’s step-formula can be disturbed easily by noise jamming. Ac-cording to the characteristics that the mean of white Gaussian noise was zero, tonguelike curve VSLMS algorithm based on zero mean was put forward in order to improve tonguelike curve VSLMS algorithm’s ability of anti-noise. If two algorithms chose the same parameters α、β, tonguelike curve VSLMS algorithm based on zero mean would have less steady-state error than tonguelike curve VSLMS algorithm. Under the condition that the two algorithms were convergent, the convergence rate of tonguelike curve VSLMS algorithm based on zero mean was bigger than the convergence rate of tonguelike curve VSLMS algorithm.