A combined fast adaptive filter algorithm with an automatic switching method

フォーマット:

論文

責任表示:

Wang, Youhua ; Nakayama, Kenji

言語:

英語

出版情報:

1994-06-01

著者名:

• Wang, Youhua
• Nakayama, Kenji

掲載情報:

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

ISSN:

0916-8508      

巻:

E77-A

通号:

1

開始ページ:

247

終了ページ:

256

バージョン:

publisher

概要:

金沢大学理工研究域　電子情報学系<br />This paper proposes a new combined fast algorithm for transversal adaptive filters. The fast transversal filter (FTF) algorithm and the normalized LMS (NLMS) are combined in the following way. In the initializati … on period, the FTF is used to obtain fast convergence. After converging, the algorithm is switched to the NLMS algorithm because the FTF cannot be used for a long time due to its numerical instability. Nonstationary environment, that is, time varying unknown system for instance, is classified into three categories: slow time varying, fast time varying and sudden time varying systems. The NLMS algorithm is applied to the first situation. In the latter two cases, however, the NLMS algorithm cannot provide a good performance. So, the FTF algorithm is selected. Switching between the two algorithms is automatically controlled by using the difference of the MSE sequence. If the difference exceeds a threshold, then the FTF is selected. Other wise, the NLMS is selected. Compared with the RLS algorithm, the proposed combined algorithm needs less computation, while maintaining the same performance. Furthermore, compared with the FTF algorithm, it provides numerically stable operation. 続きを見る

URL:

http://hdl.handle.net/2297/18376