Improved energy detector for random signals in Gaussian noise
Chen, Yunfei. (2010) Improved energy detector for random signals in Gaussian noise. IEEE Transactions on Wireless Communications, Vol.9 (No.2). pp. 558-563. ISSN 1536-1276
WRAP_Chen_Improved_Energy_detector.pdf - Draft Version - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Official URL: http://dx.doi.org/10.1109/TWC.2010.02.090622
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|
|Official Date:||February 2010|
|Number of Pages:||6|
|Page Range:||pp. 558-563|
|Access rights to Published version:||Open Access|
 H. Urkowitz, “Energy detection of unknown deterministic signals,” Proc.
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