Spectrum Sensing for Cognitive Radio
eBook - ePub

Spectrum Sensing for Cognitive Radio

Fundamentals and Applications

Kamal M. Captain, Manjunath V. Joshi

Share book
  1. 230 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Spectrum Sensing for Cognitive Radio

Fundamentals and Applications

Kamal M. Captain, Manjunath V. Joshi

Book details
Book preview
Table of contents
Citations

About This Book

This comprehensive reference text discusses concepts of cognitive radio and the advances in the field of spectrum sensing.

This text discusses the concept of cognitive radio for next generation wireless communication and a very critical aspect of cognitive radio – that is, spectrum sensing – in detail. It covers important topics including narrowband spectrum sensing, wideband spectrum sensing, cooperative spectrum sensing, system and channel models, detection algorithms, approximation of decision statistics, and theoretical analysis of detection algorithms in detail. Separate chapters are dedicated to discussing the analysis and use of detection algorithms for narrowband spectrum sensing, wideband spectrum sensing, and cooperative wideband spectrum sensing.

Aimed at graduate students and academic researchers in the fields of electrical engineering and electronics and communication engineering, this text:

  • Discusses concepts of cognitive radio and research in spectrum sensing.


  • Presents mathematical analysis of algorithms considering practical environment.


  • Explains novel wideband spectrum sensing algorithms with detailed analysis.


  • Provides mathematical derivations to help readers.


  • Discusses basic spectrum sensing algorithms, from narrowband spectrum sensing to the more advanced wideband spectrum sensing.

Frequently asked questions

How do I cancel my subscription?
Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
Can/how do I download books?
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
What is the difference between the pricing plans?
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
What is Perlego?
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Do you support text-to-speech?
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Is Spectrum Sensing for Cognitive Radio an online PDF/ePUB?
Yes, you can access Spectrum Sensing for Cognitive Radio by Kamal M. Captain, Manjunath V. Joshi in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Information

1Fundamentals of Probability Theory

DOI: 10.1201/​9781003088554-1
In this chapter, the fundamentals of probability, random variables, and random process are discussed briefly. This chapter is introduced to give a quick overview of these topics to the readers1.

1.1 Introduction

A signal can be classified as being deterministic or random. For the deterministic signal, there is no uncertainty associated with its value at a particular time instant. A mathematical formula exactly defines the deterministic signals. Random signals are unpredictable; that is, the future values of the random signals cannot be predicted with certainty even if the entire history of the signal is known.
Consider the signal yt=Asin⁡2πft+θ. If we assume the values of A, f, and θ to be constant and known, we can determine the value of yt for all values of t. The values of these parameters, if not known, can be obtained by observing the signal for a short period of time. Now, if we assume that the signal yt be the output of a signal generator having inferior frequency stability and if this signal generator is set to produce the sinusoid of frequency f, the actual frequency output will be f′∈f+Δf. This generated signal may not remain same and could vary over time. It may not be of great use to observe the signal over a long period of time to predict future values. We can say that the output of signal generator varies randomly. Another example of a random signal is the received signal...

Table of contents