An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
IEEE Transactions on Information Theory
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
An ℓp-norm minimization approach to time delay estimation in impulsive noise
Digital Signal Processing
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In cognitive radio (CR) systems reliable spectrum sensing techniques are required in order to avoid interference to the primary users of the spectrum. Whereas most of the existing literature on spectrum sensing considers impairment by additive white Gaussian noise (AWGN) only, in practice, CRs also have to cope with various types of non-Gaussian noise such as man-made impulsive noise, co-channel interference, and ultra-wideband interference. In this paper, we propose robust Lp-norm detectors which do not require any a priori knowledge about the primary user signal and perform well for a wide range of non-Gaussian noises. Furthermore, we analyze the probabilities of false alarm and missed detection of the proposed detectors in the low signal-to-noise ratio regime. For optimization of Lp-norm detection we propose a direct approach based on minimization of the probability of false alarm for a given probability of missed detection and a simpler approach based on maximization of the deflection coefficient of the detector. Analytical and simulation results show that the proposed Lp-norm detectors achieve significant performance gains over conventional energy detection in non-Gaussian noise.