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Design of a parameterizable silicon intellectual property core for QR-based RLS filtering

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3 Author(s)
G. Lightbody ; Sch. of Electr. & Electron. Eng., Queen's Univ. of Belfast, UK ; R. Woods ; R. Walke

The availability of an intellectual property core for recursive least squares (RLS) filtering could enable the RLS algorithm to replace the least mean squares algorithm in a wide range of applications. The goal of this study is to develop a parameterizable generic architecture for RLS filtering in the form of a hardware description language (HDL) description, which can be used to generate highly efficient silicon layout. The key issue is to develop a family of circuit architectures that are 100% efficient and locally connected. This paper presents a generic mapping for RLS filtering and circuit architectures that can be mapped to a range of application requirements. It outlines the transition from array to architecture covering detailed design issues such as timing and control generation. The result is a family of QR designs, which are parameterized in terms of architecture size, wordlength, performance, and arithmetic processor timing.

Published in:

IEEE Transactions on Very Large Scale Integration (VLSI) Systems  (Volume:11 ,  Issue: 4 )