Blind Signal Classification Algorithms for Cognitive Radios
Springer (Publisher)
Published on 10. October 2020
Book
Hardback
250 pages
978-1-4614-3881-6 (ISBN)
Description
This book provides a comprehensive tutorial to signal classification, an important signal processing technique that enables cognitive radios to identify the kind of users present in a frequency band, helping a radio to characterize the environment in which it is operating. Engineers involved in the design and implementation of cognitive radio receivers will benefit from this book's coverage of a newly developed, multiuser signal classification algorithm, as well as techniques for design of other components to work in conjunction with the signal classifier, such as blind equalizers, blind channel estimators, and cognitive engines.
More details
Series
Edition
1st ed. 2020
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Professional/practitioner
Illustrations
125 s/w Abbildungen
125 black & white illustrations, biography
Dimensions
Height: 23.5 cm
Width: 15.5 cm
ISBN-13
978-1-4614-3881-6 (9781461438816)
Schweitzer Classification
Content
Single User Signal Classifier.- Multiuser Signal Classifier.- Combined SISO Blind Equalizer and Signal Classifier.- Combined MIMO Blind Equalizer and Multiuser Classifier.- Distributed Signal Classification.