IMPLEMENTATION OF COMPRESSIVE SENSING WITH CVX RECONSTRUCTION TECHNIQUE FOR SPECTRUM SENSING IN COGNITIVE RADIO

RIZKY EKA LIYANTY

Informasi Dasar

21.05.056
621.382
Karya Ilmiah - Thesis (S2) - Reference

Currently, the availability of frequency spectrum is limited. The maximum possible efficient use of spectrum is an important goal of cognitive radio systems. The sparse nature of spectrum occupancy triggered this research to apply Compressive Sensing (CS) using the spectrum method of Convex Optimization (CVX). Usual sensing reconstruction is carried out one by one in each subband, so it is less efficient. With this proposed method, the results obtained the advantage of a smaller number of samples and faster sensing time, with the detection performance did not decrease significantly. In this research, the best sensing quality is Pd = 0.98 using the CS method. The smaller of compression ratio value, produce the worse of Pd value. Keywords: Cognitive Radio, CS, CVX, Spectrum Sensing, Energy Detector

Subjek

WIRELESS
 

Katalog

IMPLEMENTATION OF COMPRESSIVE SENSING WITH CVX RECONSTRUCTION TECHNIQUE FOR SPECTRUM SENSING IN COGNITIVE RADIO
 
 
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Pengarang

RIZKY EKA LIYANTY
Perorangan
 
 

Penerbit

Universitas Telkom, S2 Teknik Elektro
Bandung
2021

Koleksi

Kompetensi

 

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