A novel algorithm of adaptive IIR lattice notch filter and performance analysis
A novel algorithm of adaptive IIR lattice notch filter and performance analysis作者机构：School of ElectronicInformation and Electrical Engineering Shanghai Jiaotong University Shanghai 200030 P. R. China
出 版 物：《Journal of Shanghai University(English Edition)》 (上海大学学报（英文版）)
年 卷 期：2007年第11卷第5期
页 面：485-489页
学科分类：0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 080902[工学-电路与系统] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：lattice notch filter adaptive algorithm cross correction steady-state bounds normalized power factor.
摘 要：A novel adaptive algorithm of IIR lattice notch filter realized by all-pass filter is presented. The time-averaged estimation of cross correlation of the present instantaneous input signal and the past output signal is used to update the step-size, leading to a considerably improved convergence rate in a low SNR situation and reduced steady-state bias and MSE. The theoretical expression for steady-state bounds on the step-size is derived, and the influence factors on the stable performance of the algorithm theoretically are analyzed. A normalized power factor is then introduced to control variation of step-size in its steady-state bounds. This technique prevents divergence due to the influence of large power input signal and improves robustness. Numerical experiments are performed to demonstrate superiority of the proposed method.
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