Open AccessCHAOTIC COMPRESSIVE SENSING OF TV –UHF BAND IN IRAQ USING CHEBYSHEV GRAM SCHMIDT SENSING MATRIX
Author(s) -
Hadeel S. Abed,
Hikmat N. Abdullah
Publication year - 2021
Publication title -
iraqi journal of information and communication technology/iraqi journal of information and communication technology
Language(s) - English
Resource type - Journals
eISSN - 2789-7362
pISSN - 2222-758X
DOI - 10.31987/ijict.1.1.152
Subject(s) - compressed sensing , mutual coherence , algorithm , computer science , matrix (chemical analysis) , ultra high frequency , wideband , chebyshev filter , decoding methods , sparse approximation , chaotic , mathematics , electronic engineering , coherence (philosophical gambling strategy) , telecommunications , artificial intelligence , engineering , computer vision , statistics , materials science , composite material
Cognitive radio (CR) is a promising technology for solving spectrum sacristy problem. Spectrum sensing is the main step of CR. Sensing the wideband spectrum produces more challenges. Compressive sensing (CS) is a technology used as spectrum sening in CR to solve these challenges. CS consists of three stages: sparse representation, encoding and decoding. In encoding stage sensing matrix are required, and it plays an important role for performance of CS. The design of efficient sensing matrix requires achieving low mutual coherence . In decoding stage the recovery algorithm is applied to reconstruct a sparse signal. İn this paper a new chaotic matrix is proposed based on Chebyshev map and modified gram Schmidt (MGS). The CS based proposed matrix is applied for sensing real TV signal as a PU. The proposed system is tested under two types of recovery algorithms. The performance of CS based proposed matrix is measured using recovery error (Re), mean square error (MSE), and probability of detection (Pd) and evaluated by comparing it with Gaussian, Bernoulli and chaotic matrix in the literature. The simulation results show that the proposed system has low Re and high Pd under low SNR values and has low MSE with high compression.