May 19, 2024
Hojjat Emami

Hojjat Emami

Academic rank: Associate professor
Address: Iran, East Azerbaijan, Bonab, University of Bonab
Education: Ph.D in Computer Engineering- Artificial Intelligence
Phone: 041-37741636
Faculty: Faculty of Engineering
Department: Computer Engineering

Research

Title
Compressive sensing based PAPR reduction in OFDM systems: Modified orthogonal matching pursuit approach
Type Article
Keywords
OFDM; PAPR; Compressive sensing (CS); Orthogonal matching pursuit (OMP)
Researchers Ghanbar Azarnia، Abbas Ali Sharifi، Hojjat Emami

Abstract

Orthogonal frequency division multiplexing (OFDM) has been proposed to achieve high data rate transmission in wireless communications. The OFDM system usually suffers from the high envelope fluctuations called peak-to-average power ratio (PAPR). The high PAPR causes a signal clipping distortion, and consequently, the performance is degraded. To mitigate the PAPR, we introduce a new PAPR reduction approach using a compressive sensing approach at the transmitter side and an orthogonal matching pursuit (OMP) reconstruction algorithm at the receiver end. Numerical results show the significant reduction of the PAPR compared with the traditional OFDM system without degrading the bit error rate performance.