Open AccessPerformance Improvement of OFDM Systems by Reducing Papr using SLM-Grasshopper Optimization
Author(s) -
R. Sridevi,
T. Madhavi
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1050.1292s319
Subject(s) - orthogonal frequency division multiplexing , reduction (mathematics) , computer science , matlab , transmission (telecommunications) , electronic engineering , signal (programming language) , wireless , real time computing , telecommunications , engineering , mathematics , channel (broadcasting) , geometry , programming language , operating system
Orthogonal Frequency Division Multiplexing (OFDM) is an emerging technology which is been most commonly used for transmission of data in wireless based systems. The OFDM technique is capable of achieving more speed i.e it has higher data rate transmission which is reliable and efficient. Peak power is the major drawback while transmitting the signal which is termed as PAPR. The signals achieves high peak value while transmitting due to the presence of large subcarriers which are independent in nature. The amplitude of the signal need to be reduced. Many PAPR reductions schemes have been presented in past and the reduction is done to some extents. In this paper , a new optimisation technique i.e grasshopper optimization (GOA) is proposed. The optimization technique is combined with one of the efficient PAPR reduction technique i.e selective mapping technique. The combination of SLM-Grasshopper help in reducing the PAPR as low as possible and is also compared with other techniques like SLM-GA, SLM-FA and SLM-GWO. The experimental results are performed using matlab.