Noise calibrated GLRT-based spectrum sensing algorithm for cognitive radio applications

Abstract

In this paper, a new modified version of generalized likelihood ratio test (GLRT) is proposed which improves the detection probability of primary users in cognitive radio (CR) system under colored (or white) noise scenario. At first, in the case of noise variance uncertainty, the effectiveness of the conventional GLRT is compared to eigenvalue grads method… (More)
DOI: 10.1109/ISSPIT.2015.7394322

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@article{Habibzadeh2015NoiseCG, title={Noise calibrated GLRT-based spectrum sensing algorithm for cognitive radio applications}, author={Ameneh Habibzadeh and Shahriar Shirvani Moghaddam}, journal={2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)}, year={2015}, pages={174-179} }