Simple and Accurate Closed-Form Approximation of the Standard Condition Number Distribution with Application in Spectrum Sensing - Archive ouverte HAL Access content directly
Conference Papers Year : 2016

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

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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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Dates and versions

hal-01318207 , version 1 (19-05-2016)

Identifiers

  • HAL Id : hal-01318207 , version 1

Cite

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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