A Modified Energy Detector for Random Signals in Gaussian Noise

This letter proposes a new modified energy detector for random signals in Gaussian noise. This new detector, whose decision variable is the weighted sum of the signal amplitude and its square, has a simple structure similar to the conventional energy detector. We propose a parameter optimization met...

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Bibliographic Details
Published in:IEEE communications letters 2015-08, Vol.19 (8), p.1358-1361
Main Authors: Guo, Huayan, Jiang, Wei, Luo, Wu
Format: Article
Language:English
Subjects:
Approximation methods
Binary phase shift keying
Detectors
Energy detection
Gaussian noise
large deviation theory
Optimization methods
Signal to noise ratio
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Summary:This letter proposes a new modified energy detector for random signals in Gaussian noise. This new detector, whose decision variable is the weighted sum of the signal amplitude and its square, has a simple structure similar to the conventional energy detector. We propose a parameter optimization method to find the proper weighting factor by maximizing the error exponent of the misdetection probability based on large deviation theory. We also apply this method to optimize the power operation p of another modified energy detector recently proposed by Chen. Numerical results show that, with the parameters obtained by the proposed method, both modified detectors achieve performance almost as well as the optimal detector.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2015.2445873