Title :
A Modified Energy Detector for Random Signals in Gaussian Noise
Author :
Huayan Guo ; Wei Jiang ; Wu Luo
Author_Institution :
State Key Lab. of Adv. Opt. Commun. Syst. & Networks, Peking Univ., Beijing, China
Abstract :
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.
Keywords :
Gaussian noise; signal detection; Gaussian noise; energy detector; parameter optimization; random signals; Approximation methods; Binary phase shift keying; Detectors; Gaussian noise; Optimization methods; Signal to noise ratio; Energy detection; large deviation theory;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2015.2445873