CAJ | 학술논문

目前仿射投影算法已成为回声抵消研究中常用的算法。针对收敛速度和稳态误差这对相互矛盾因素，提出了变正则化因子和变投影阶数相结合的新算法。通过变正则化因子和可变投影阶数的协同调节，使收敛速度和稳态误差达到相对较好的状态。摒弃后验误差为零的传统思想，将噪声的统计特性考虑到自适应过程中。推导出了算法具体的更新公式。实验结果表明改进的算法要比变阶数APA或变正则化因子APA具有较小的稳态误差和较快的收敛速度。
목전방사투영산법이성위회성저소연구중상용적산법。침대수렴속도화은태오차저대상호모순인소，제출료변정칙화인자화변투영계수상결합적신산법。통과변정칙화인자화가변투영계수적협동조절，사수렴속도화은태오차체도상대교호적상태。병기후험오차위령적전통사상，장조성적통계특성고필도자괄응과정중。추도출료산법구체적경신공식。실험결과표명개진적산법요비변계수APA혹변정칙화인자APA구유교소적은태오차화교쾌적수렴속도。
Recently Affine Projection Algorithm(APA)has become a very popular algorithm in the application of acoustic echo cancellation. According to the contradictory factors of convergence rate and steady-state misalignment, a new algorithm by the behavior of associating variable regularization and evolving order has been proposed. It will reach a much better state by coordinating variable regularization and evolving order. Instead of the conventional assumption that the a posteriori error is zero, this paper incorporates the statistical characteristic of the noise into the adaptation process. Exact and approx-imate formulations for the optimal regularization factor are derived. Numerical simulation results show that the proposed algorithm improves the performance of the APA in terms of its faster convergence rate and lower steady-state misalign-ment compared to existing variable regularization APA and evolving order APA, respectively.