【摘要】 常规仿射投影算法(APA)收敛较快,但计算复杂度高。集员仿射投影算法(SM-AP)具有独特的数据选择更新特性,可有效降低算法的执行复杂度,但由于采用标量误差,收敛较慢。本文把集员滤波的时变步长引入到常规的仿射投影算法中得到一种新的基于集员滤波的变步长仿射投影(VS-APA-SM)算法。与集员仿射投影算法(SM-AP)相比,该算法使用矢量误差,因此收敛速度更快,并具备了集员滤波(SMF)的数据选择更新特性。同时,该算法的性能通过系统辨识和回声对消的实验得到了验证。更多还原

【Abstract】 The conventional affine projection algorithm(APA) converges faster,but it involves high computational complexity.Set membership affine projection algorithm(SM-AP) can effectively reduce the computation due to data-selective update.However it converges slowly due to the use of scalar error.Using the time-varying step size of set-membership filter(SMF),the conventional APA is reformed to a novel affine projection algorithm with variable step-size based on SMF.Compared to the SM-AP algorithm,the proposed algorithm converges faster with vector error,and it features data-selective update as SMF.The performance of the proposed algorithm is verified by the experiments of system identification and echo cancellation.更多还原