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Christchurch, New Zealand
Jan. 29, 2002 to Jan. 31, 2002
ISBN: 0-7695-1453-7
pp: 466
Shing Tenqchen , National Taiwan University and Chunghwa Telecom Telecommunication Labs.
Ji-Horn Chang , Chang Gung University
Wu-Shiung Feng , Chang Gung University
Bor-Sheng Jeng , Chunghwa Telecom Telecommunication Labs.
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.
CITATION
Shing Tenqchen, Ji-Horn Chang, Wu-Shiung Feng, Bor-Sheng Jeng, "Pipelining Extended Givens Rotation RLS Adaptive Filters", DELTA, 2002, Proceedings First IEEE International Workshop on Electronic Design, Test and Applications '2002, Proceedings First IEEE International Workshop on Electronic Design, Test and Applications '2002 2002, pp. 466, doi:10.1109/DELTA.2002.994675
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