Wireless channels are becoming more and more important, with the future
development of wireless ad-hoc networks and the integration of mobile
and satellite communications. To this end, algorithmic detection aspects
(involved in the physical layer) will become fundamental in the design
of a communication system.
This book proposes a unified approach to detection for stochastic
channels, with particular attention to wireless channels. The core idea
is to show that the three main criteria of sequence detection, symbol
detection and graph-based detection, can all be described within a
general framework. This implies that a detection algorithm based on one
criterion can be extended to the other criteria in a systematic manner.
- Presents a detailed analysis of statistical signal detection for
digital signals transmitted over wireless communications
- Provides a unifying framework for different signal detection
algorithms, such as sequence detection, symbol detection and
graph-based detection, important for the design of modern digital
receivers operating over mobile channels
- Features the hot topic of graph-based detection
Detection Algorithms for Wireless Communications represents a novel
contribution with respect to the current literature, with a unique focus
on detection algorithms, as such it will prove invaluable to researchers
working in academia and industry and in the field of wireless
communications, as well as postgraduate students attending advanced
courses on mobile communications.