Book description
This book examines signal processing techniques for cognitive radios. The book is divided into three parts:
Part I, is an introduction to cognitive radios and presents a history of the cognitive radio (CR), and introduce their architecture, functionalities, ideal aspects, hardware platforms, and state-of-the-art developments. Dr. Jayaweera also introduces the specific type of CR that has gained the most research attention in recent years: the CR for Dynamic Spectrum Access (DSA).
Part II of the book, Theoretical Foundations, guides the reader from classical to modern theories on statistical signal processing and inference. The author addresses detection and estimation theory, power spectrum estimation, classification, adaptive algorithms (machine learning), and inference and decision processes. Applications to the signal processing, inference and learning problems encountered in cognitive radios are interspersed throughout with concrete and accessible examples.
Part III of the book, Signal Processing in Radios, identifies the key signal processing, inference, and learning tasks to be performed by wideband autonomous cognitive radios. The author provides signal processing solutions to each task by relating the tasks to materials covered in Part II. Specialized chapters then discuss specific signal processing algorithms required for DSA and DSS cognitive radios.
Table of contents
- COVER
- TITLE PAGE
- COPYRIGHT PAGE
- DEDICATION PAGE
- PREFACE
- PART I: INTRODUCTION TO COGNITIVE RADIOS
-
PART II: THEORETICAL FOUNDATIONS
- 4 INTRODUCTION TO DETECTION THEORY
- 5 INTRODUCTION TO ESTIMATION THEORY
-
6 POWER SPECTRUM ESTIMATION
- 6.1 INTRODUCTION
- 6.2 PSD ESTIMATION OF A STATIONARY DISCRETE-TIME SIGNAL
- 6.3 BLACKMAN–TUKEY ESTIMATOR OF THE POWER SPECTRUM
- 6.4 OTHER PSD ESTIMATORS BASED ON MODIFIED PERIODOGRAMS
- 6.5 PSD ESTIMATION OF NONSTATIONARY DISCRETE-TIME SIGNALS
- 6.6 SPECTRAL CORRELATION OF CYCLOSTATIONARY SIGNALS
- 6.7 SUMMARY
- 7 MARKOV DECISION PROCESSES
- 8 BAYESIAN NONPARAMETRIC CLASSIFICATION
-
PART III: SIGNAL PROCESSING IN COGNITIVE RADIOS
-
9 WIDEBAND SPECTRUM SENSING
- 9.1 INTRODUCTION
- 9.2 WIDEBAND SPECTRUM SENSING PROBLEM
- 9.3 WIDEBAND SPECTRUM SCANNING PROBLEM
- 9.4 SPECTRUM SEGMENTATION AND SUBBANDING
- 9.5 WIDEBAND SPECTRUM SENSING RECEIVER
- 9.6 SUBBAND SELECTION PROBLEM IN WIDEBAND SPECTRUM SENSING
- 9.7 A REDUCED COMPLEXITY OPTIMAL SUBBAND SELECTION FRAMEWORK WITH AN ALTERNATIVE REWARD FUNCTION
- 9.8 MACHINE-LEARNING AIDED SUBBAND SELECTION POLICIES
- 9.9 SUMMARY
-
10 SPECTRAL ACTIVITY DETECTION IN WIDEBAND COGNITIVE RADIOS
- 10.1 INTRODUCTION
- 10.2 OPTIMAL WIDEBAND SPECTRAL ACTIVITY DETECTION
- 10.3 WIDEBAND SPECTRAL ACTIVITY DETECTION
- 10.4 WAVELET TRANSFORM-BASED WIDEBAND SPECTRAL ACTIVITY DETECTION
- 10.5 WIDEBAND SPECTRAL ACTIVITY DETECTION IN NON-GAUSSIAN NOISE
- 10.6 WIDEBAND SPECTRAL ACTIVITY DETECTION WITH COMPRESSIVE SAMPLING
- 10.7 SUMMARY
-
11 SIGNAL CLASSIFICATION IN WIDEBAND COGNITIVE RADIOS
- 11.1 INTRODUCTION
- 11.2 SIGNAL CLASSIFICATION PROBLEM IN A WIDEBAND COGNITIVE RADIO
- 11.3 FEATURE EXTRACTION FOR SIGNAL CLASSIFICATION
- 11.4 A SIGNAL CLASSIFICATION ARCHITECTURE FOR A WIDEBAND COGNITIVE RADIO
- 11.5 BAYESIAN NONPARAMETRIC SIGNAL CLASSIFICATION
- 11.6 SEQUENTIAL BAYESIAN NONPARAMETRIC SIGNAL CLASSIFICATION
- 11.7 SUMMARY
-
12 PRIMARY SIGNAL DETECTION IN DSA COGNITIVE NETWORKS
- 12.1 INTRODUCTION
- 12.2 SPECTRUM SENSING PROBLEM IN DYNAMIC SPECTRUM SHARING CR NETWORKS
- 12.3 AUTONOMOUS SPECTRUM SENSING FOR DYNAMIC SPECTRUM SHARING
- 12.4 LIMITATIONS OF AUTONOMOUS SPECTRUM SENSING
- 12.5 COOPERATIVE SPECTRUM SENSING FOR DYNAMIC SPECTRUM SHARING
- 12.6 COOPERATIVE CHANNEL-STATE DETECTION
- 12.7 SUMMARY
- 13 SPECTRUM DECISION-MAKING IN DSA COGNITIVE NETWORKS
- 14 DYNAMIC SPECTRUM LEASING IN COGNITIVE RADIO NETWORKS
- 15 COOPERATIVE COGNITIVE COMMUNICATIONS
- 16 MACHINE LEARNING IN COGNITIVE RADIOS
-
9 WIDEBAND SPECTRUM SENSING
- APPENDIX A: NYQUIST SAMPLING THEOREM
- APPENDIX B: A COLLECTION OF USEFUL PROBABILITY DISTRIBUTIONS
- APPENDIX C: CONJUGATE PRIORS
- REFERENCES
- INDEX
- END USER LICENSE AGREEMENT
Product information
- Title: Signal Processing for Cognitive Radios
- Author(s):
- Release date: December 2014
- Publisher(s): Wiley
- ISBN: 9781118824931
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