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The First IEEE International Workshop on Electronic Design, Test and Applications (DELTA '02)
Pipelining Extended Givens Rotation RLS Adaptive Filters
Christchurch, New Zealand
January 29-January 31
ISBN: 0-7695-1453-7
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.
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, pp.466, The First IEEE International Workshop on Electronic Design, Test and Applications (DELTA '02), 2002
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