Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Improved energy detector for random signals in Gaussian noise

Tools
- Tools
+ Tools

Chen, Yunfei (2010) Improved energy detector for random signals in Gaussian noise. IEEE Transactions on Wireless Communications, Vol.9 (No.2). pp. 558-563. doi:10.1109/TWC.2010.02.090622

[img] PDF
WRAP_Chen_Improved_Energy_detector.pdf - Draft Version - Requires a PDF viewer.

Download (471Kb)
Official URL: http://dx.doi.org/10.1109/TWC.2010.02.090622

Request Changes to record.

Abstract

New and improved energy detector for random signals in Gaussian noise is proposed by replacing the squaring operation of the signal amplitude in the conventional energy detector with an arbitrary positive power operation. Numerical results show that the best power operation depends on the probability of false alarm, the probability of detection, the average signal-to-noise ratio or the sample size. By choosing the optimum power operation according to different system settings, new energy detectors with better detection performances can be derived. These results give useful guidance on how to improve the performances of current wireless systems using the energy detector. It also confirms that the conventional energy detector based on the generalized likelihood ratio test using the generalized likelihood function is not optimum in terms of the detection performance.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH): Signal processing, Detectors, Random noise theory
Journal or Publication Title: IEEE Transactions on Wireless Communications
Publisher: IEEE
ISSN: 1536-1276
Official Date: February 2010
Dates:
DateEvent
February 2010Published
Volume: Vol.9
Number: No.2
Number of Pages: 6
Page Range: pp. 558-563
DOI: 10.1109/TWC.2010.02.090622
Status: Peer Reviewed
Access rights to Published version: Open Access

Data sourced from Thomson Reuters' Web of Knowledge

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us