Performance Improvement of OFDM System Using Iterative Signal Clipping With Various Window Techniques for PAPR Reduction

TL;DR

This paper explores iterative clipping and filtering techniques with various window functions to effectively reduce PAPR in OFDM systems, improving efficiency and symbol error rate performance.

Contribution

It introduces a novel approach combining iterative clipping with different window functions to enhance PAPR reduction and SER performance in OFDM systems.

Findings

Clipping and filtering significantly reduce PAPR.

Different window functions impact out-of-band noise suppression.

Iterative methods improve SER performance.

Abstract

OFDM signals demonstrates high fluctuations termed as Peak to Average Power Ratio (PAPR).The problem of OFDM is the frequent occurrence of high Peaks in the time domain signal which in turn reduces the efficiency of transmit high power amplifier.In this paper we discussed clipping and filtering technique which is easy to implement and reduces the amount of PAPR by clipping the peak of the maximum power signal.This technique clips the OFDM signal to a predefined threshold and uses a filter to eliminate the out-of-band radiation.Moreover, analysis of PAPR is given by varying different filters.The study is focused to reduce PAPR by iterative clipping and filtering method. The symbol error rate performances for different modulation techniques have been countered.Each clipping noise sample is multiplied by a window function(e.g.Hanning,Kaiser, or Hamming) to suppress the out-of-band noise.It is shown that clipping and different filtering techniques for improvement in the SER performance and provides further reduction in PAPR.