Computer Techniques and Algorithms in Digital Signal Processing

Advances in Theory and Applications

,

• Publisher: Academic Press
• Year: 1996
• Print ISBN: 9780120127757
• eBook ISBN: 9780080529912
• Topic: Technology & Engineering
• Subtopic: Chemical & Biochemical Engineering
• Index: Technology & Engineering

Covers advances in the field of computer techniques and algorithms in digital signal processing.

Blind Adaptive MAP Symbol Detection and a TDMA Digital Mobile Radio Application

K. Giridhar^†,†; John J. Shynk^‡; Ronald A. Iltis^{‡ †} Department of Electrical Engineering Indian Institute of Technology Madras 600036, India
^‡ Department of Electrical and Computer Engineering University of California Santa Barbara, CA 93106
^† K. Giridhar was with the Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA 93106.

1 Introduction

The transfer of information through a communication medium or channel invariably results in many kinds of distortion to the transmitted signal. Among the sources of distortion commonly encountered are intersymbol interference (ISI) due to the finite coherence bandwidth, fading due to the finite coherence time, and additive noise due to thermal energy and measurement errors.¹ Such a channel can be modeled as a linear, finite impulse response (FIR) filter with time-varying channel coefficients, plus an additive noise component [1]. Throughout this article, we will assume that the additive noise is white and uncorrelated with the information sequence, and has a Gaussian probability density function (p.d.f.).

When the length of the impulse response is reasonably short and the channel coefficients are known or can be estimated, the principle of maximum likelihood sequence estimation (MLSE) [2] can be employed to decode the data sequence. Otherwise, channel equalization algorithms must be employed at the receiver prior to decoding the data. Adaptive channel equalization has been an active area of research for the last 25-30 years, and has produced a variety of algorithms. All such algorithms can be class...

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright page
• Contributors
• Preface
• Frequency Estimation and the QD Method
• Roundoff Noise in Floating Point Digital Filters
• Higher Order Statistics for Chaotic Signal Analysis
• Two-Dimensional Transforms Using Number Theoretic Techniques
• Fixed Point Roundoff Effects in Frequency Sampling Filters
• Cyclic and High-Order Sensor Array Processing
• Two-Stage Habituation Based Neural Networks for Dynamic Signal Classification
• Blind Adaptive MAP Symbol Detection and a TDMA Digital Mobile Radio Application
• Index