The study of peak to average power ratio (PAPR) reduction in wavelet based multicarrier

Abstract

Wireless digital communications is rapidly expanding, resulting in a demand for wireless systems that are reliable and have a high spectral efficiency. As we move in to the future there is a rising demand for high performance, high capacity and high bit rate wireless communication systems to integrate wide variety of communication services such as high-speed data, video and multimedia traffic as well as voice signals. As proven by the success of orthogonal frequency division multiplexing (OFDM), it provides an efficient means to handle high-speed data streams over a multipath fading environment .In recent years, wavelet packets are introduced to the communication field as an orthogonal base for multicarrier modulation, and attract a lot of attention of experts engaged in this filed [13]. This is because wavelet OFDM implementation provides performance gains over Fourier based OFDM, due to superior spectral containment properties of wavelet filters. Peak to Average Power Ratio (PAPR) is one of the serious problems in any wireless communication system using multi carrier modulation technique which reduces the efficiency of transmit high power amplifier. In this project, the PAPRs reduction in wavelet based multicarrier modulation (WMCM) systems will be studied by employing clipping as PAPR reduction technique and we will analyze the performance of PAPR by using Complementary Cumulative Distribution Function (CCDF).