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Proceedings ArticleDOI

A parallel low-complexity coefficient computation processor for the MMSE-DFE

Naofal Al-Dhahir, +1 more
- Vol. 2, pp 1586-1590
TLDR
A modular parallel architecture for a MMSE-DFE coefficient computation processor is presented that is based on the QR factorization of a channel-and-noise-dependent data matrix and is implemented using CORDIC processors within a systolic array architecture.
Abstract
A modular parallel architecture for a MMSE-DFE coefficient computation processor is presented. The architecture is based on the QR factorization of a channel-and-noise-dependent data matrix and is implemented using CORDIC processors within a systolic array architecture. Implementation issues including the number of CORDIC stages and the bit precision required in a fixed-point implementation are investigated through computer simulations.

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Citations
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Proceedings ArticleDOI

DFE-Based Receiver Implementation for MIMO Systems Employing Hybrid ARQ

TL;DR: It is shown how the theory of MIMO decision feedback equalization can be applied to derive optimal DFE architectures for the case of M IMO HARQ, and incremental structures are proposed that reduce the implementation complexity of the DFE and the memory requirements at the receiver without loss in performance.
DissertationDOI

Decision feedback equalization for powerline and HIPERLAN

TL;DR: A novel algorithm based on Displacement Structure Theory well suited to VLSI implementation is developed and a hardware architecture implementing the algorithm is proposed.
References
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Book

Matrix computations

Gene H. Golub
Book

Adaptive Filter Theory

Simon Haykin
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Journal ArticleDOI

Adaptive equalization

TL;DR: In this article, the authors give an overview of the current state of the art in adaptive equalization and discuss the convergence and steady-state properties of least mean square (LMS) adaptation algorithms.

Adaptive equalization

TL;DR: This tutorial paper gives an overview of the current state of the art in adaptive equalization and discusses the convergence and steady-state properties of least mean-square (LMS) adaptation algorithms, including digital precision considerations, and three classes of rapidly converging adaptive equalizer algorithms.
Journal ArticleDOI

CORDIC-based VLSI architectures for digital signal processing

TL;DR: In this paper, the evolution of CORDIC, an iterative arithmetic computing algorithm capable of evaluating various elementary functions using a unified shift-and-add approach, is reviewed.
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