IMPLEMENTATION OF COMPRESSIVE SENSING WITH CVX RECONSTRUCTION TECHNIQUE FOR SPECTRUM SENSING IN COGNITIVE RADIO
RIZKY EKA LIYANTY
Informasi Umum
Kode
21.05.056
Klasifikasi
621.382 - Communication Engineering, signal processing, network protocol, signal processing, communication network analysis
Jenis
Karya Ilmiah - Thesis (S2) - Reference
Subjek
Wireless
Dilihat
209 kali
Informasi Lainnya
Abstraksi
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
Koleksi & Sirkulasi
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Pengarang
| Nama | RIZKY EKA LIYANTY |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S2 Teknik Elektro |
| Kota | Bandung |
| Tahun | 2021 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
