Advanced Sensing Techniques for Cognitive Radio

  • Guodong Zhao
  • Wei Zhang
  • Shaoqian Li

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-x
  2. Guodong Zhao, Wei Zhang, Shaoqian Li
    Pages 1-9
  3. Guodong Zhao, Wei Zhang, Shaoqian Li
    Pages 11-34
  4. Guodong Zhao, Wei Zhang, Shaoqian Li
    Pages 35-49
  5. Guodong Zhao, Wei Zhang, Shaoqian Li
    Pages 51-74
  6. Guodong Zhao, Wei Zhang, Shaoqian Li
    Pages 75-76

About this book


This SpringerBrief investigates advanced sensing techniques to detect and estimate the primary receiver for cognitive radio systems. Along with a comprehensive overview of existing spectrum sensing techniques, this brief focuses on the design of new signal processing techniques, including the region-based sensing, jamming-based probing, and relay-based probing. 
The proposed sensing techniques aim to detect the nearby primary receiver and estimate the cross-channel gain between the cognitive transmitter and primary receiver. The performance of the proposed algorithms is evaluated by simulations in terms of several performance parameters, including detection probability, interference probability, and estimation error. The results show that the proposed sensing techniques can effectively sense the primary receiver and improve the cognitive transmission throughput. 
Researchers and postgraduate students in electrical engineering will find this an exceptional resource.


Cognitive radio Detection Spectrum sensing Wireless communications Signal processing Estimation Relay

Authors and affiliations

  • Guodong Zhao
    • 1
  • Wei Zhang
    • 2
  • Shaoqian Li
    • 3
  1. 1.University of Electronic Science and Technology of ChinaChengduChina
  2. 2.The University of New South Wales SydneyAustralia
  3. 3.University of Electronic Science and technology of ChinaChengduChina

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-42783-6
  • Online ISBN 978-3-319-42784-3
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • Buy this book on publisher's site
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