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Simple and Accurate Closed-Form Approximation of the Standard Condition Number Distribution with Application in Spectrum Sensing

Abstract : "Standard condition number (SCN) detector is a promising detector that can work e ectively in uncertain environments. In this paper, an accurate and simple closed form approximation of the con- dition number distribution is provided using the generalized extreme value (GEV) distribution. The approximation framework is based on the moment-matching method and used to perform spectrum sensing for asymptotic matrix dimension. The expressions of the moments are approximated using bi-variate Taylor expansion and results from random matrix theory. Through intensive simulations, it is shown that the derived approximation is tightly matched to the condition number distribution."
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https://hal-centralesupelec.archives-ouvertes.fr/hal-01318207
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Submitted on : Thursday, May 19, 2016 - 1:27:35 PM
Last modification on : Thursday, October 21, 2021 - 5:20:21 AM

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  • HAL Id : hal-01318207, version 1
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Hussein Kobeissi, Amor Nafkha, Youssef Nasser, Oussama Bazzi, Yves Louët. Simple and Accurate Closed-Form Approximation of the Standard Condition Number Distribution with Application in Spectrum Sensing . 11th EAI International Conference on Cognitive Radio Oriented Wireless Networks, Jun 2016, Grenoble, France. ⟨hal-01318207⟩

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