Pipelining extended givens rotation RLS adaptive filters
Resource
Electronic Design, Test and Applications, 2002. Proceedings. The First IEEE International Workshop on
Journal
Electronic Design, Test and Applications, 2002. Proceedings. The First IEEE International Workshop on
Pages
-
Date Issued
2002-01
Date
2002-01
Author(s)
Shing, Tenqchen
Chang, Ji-Horn
Feng, Wu-Shiung
Jeng, Bor-Sheng
DOI
N/A
Abstract
In this paper, we propose a new pipelining extended Givens Rotation Recursive Least Square (PEGR-RLS) architecture using look-ahead technique. The square-root-free forms of QRD-RLS are also difficult to pipeline. The PEGR-RLS algorithm (referred to as Scaled Tangent Rotation, STAR-RLS) is designed such that fine-grain pipelining can be accomplished with little hardware overhead. Similar to STAR-RLS, this algorithm is not exactly orthogonal transformations but tends to become orthogonal asymptotically. This algorithm also preserves the desired properties of the STAR-RLS algorithm. Specifically, it can be pipelined at very low forgetting factor by using extended look-ahead. Simulation results are presented to compare the performance of the STAR-RLS, QRD-RLS, and LMS algorithms.
SDGs
Type
journal article
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