An Improved Reconstruction Technique for Wavelet-Based Compressive Spectrum Sensing using Genetic Algorithm

被引：0
|
作者：
El-Khamy, Said E. [1 ]
Abdel-Malek, Mina B. [1 ,2 ]
Kamel, Sara H. [1 ]
机构：
[1] Univ Alexandria, Fac Engn, Alexandria 21544, Egypt
[2] Amer Univ Cairo, Sch Sci & Engn, Cairo 11511, Egypt
来源：
2014 31ST NATIONAL RADIO SCIENCE CONFERENCE (NRSC) | 2014年
关键词：
Compressive Sensing; Wavelet Transform; Genetic Algorithm; Cognitive Radio; Reconstruction; Sub-Nyquist Sampling; Spectrum Sensing;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this paper we introduce the genetic algorithm as an improved method of signal reconstruction in wavelet-based compressive sensing. Instead of using basis pursuit for reconstruction, a population of initial guesses is created and a genetic algorithm is applied to find the sparsest solution. The paper investigates the different possible objective functions and constraints to give the best performance in a Cognitive Radio spectrum sensing framework.
引用
收藏
页码：99 / 106
页数：8
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