Bias‐compensated affine‐projection‐like algorithms with noisy input. Issue 9 (1st April 2016)

• Record Type: Journal Article
• Authors: Zhao, Haiquan; Zheng, Zongsheng
• Is Part Of: Electronics letters. Volume 52:Issue 9(2016)
• Page Start: 712
• Page End: 714
• Publication Date: 2016-04-01
• Subjects: vectors -- least mean squares methods; bias‐compensated affine‐projection‐like algorithms -- APL algorithms -- bias‐compensation vector -- input noise variance -- steady‐state misalignment; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2015.3550
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : A new class of bias‐compensated affine‐projection‐like (APL) algorithms is proposed, in which a bias‐compensation vector is derived to eliminate the bias caused by the noisy input. In addition, a new estimation method for the input noise variance is proposed which does not require the input–output noise variance ratio in advance. Simulations in a system identification context show that the proposed algorithms achieve significant improvements in steady‐state misalignment as compared with the conventional APL algorithms.