[Cross Ref] Novel Algorithm for Nonlinear Distortion Reduction Based on Clipping and Compressive Sensing in OFDM/OQAM System
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Research Article |

Novel Algorithm for Nonlinear Distortion Reduction Based on Clipping and Compressive Sensing in OFDM/OQAM System

Author(s): Karthik Kumar Vaigandla1 and J.Benita2

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 10, Issue 3

Publisher : FOREX Publication

Published : 15 September 2022

e-ISSN : 2347-470X

Page(s) : 620-626

DOI: https://doi.org/10.37391/IJEER.100334

Abstract

Orthogonal Frequency Division Multiplexing with Offset Quadrature Amplitude Modulation (OFDM/OQAM) signal has high peak-to-average power ratio (PAPR) problem. It not only affects the distortion in High Power Amplifier (HPA) but also results in bit error ratio (BER) degradation. In this paper an improved algorithm based on Clipping and Compressed Sensing (CS) is proposed. The transmitter uses clipping to reduce the PAPR and, the receiver uses an improved inverse model, to reduce the nonlinear distortion introduced by HPA and CS cancels the signal distortion introduced by clipping. Simulation results show that the proposed method not only significantly reduces the PAPR of OFDM/OQAM signals, but also effectively improves the BER performance of the system.

Keywords: BER, Clipping, CS, HPA, OFDM/OQAM, PAPR




Karthik Kumar Vaigandla, Research Scholar, Electronics and Communication Engineering, Noorul Islam Centre For Higher Education, Kanyakumari, Tamil Nadu, India; Email: vkvaigandla@gmail.com

J.Benita, Assistant Professor, Electronics and Communication Engineering, Noorul Islam Centre For Higher Education, Kanyakumari, Tamil Nadu, India; Email: beni.bless@gmail.com

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Karthik Kumar Vaigandla and J.Benita (2022), Novel Algorithm for Nonlinear Distortion Reduction Based on Clipping and Compressive Sensing in OFDM/OQAM System. IJEER 10(3), 620-626. DOI: 10.37391/IJEER.100334.