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Recent years have shown a growing interest in the concept of cognitive radios (CR), in order to access the electromagnetic spectrum in an opportunistic way. Such systems require efficient spectrum detectors able to work in low signal-tonoise ratio (SNR) environments, with little or no information about the signals. In this paper, using the theory of higher-order statistics (HOS), a two-stage spectrum...
Automatic modulation classification (AMC) finds various applications in cognitive radios. This paper presents a method for the automatic classification using cumulants derived using fractional lower order statistics. The performance of the classifier is presented in the form of probability of correct classification under noisy and fading conditions. Unlike many of the conventional methods, the proposed...
Accurate Spectrum sensing is a vital task in military wideband receivers. The discrete Fourier transform filter bank (DFTFB) used in conventional energy detectors fails to detect the exact locations and edges of occupied frequency bands (channels). In this paper, an energy detector based on tree-structured DFTFB (TDFTFB) is proposed for detecting the edges of channels. Simulation results are presented...
One of the key requirements in cognitive radio is accurate detection of vacant spectrum bands. In this paper, an energy detector based on a tree-structured quadrature mirror filter bank (TQMFB) is proposed for detecting the center frequencies of the channels (frequency bands). Simulation results are presented to show the trade off between the window size, k, and the error in estimating the center...
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