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PAPR Reduction in OFDM System using Wavelet SLM and PTS Technique
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 98 - Number 19 |
| Year of Publication: 2014 |
| Authors: Ajit Singh Rathor, Mukesh Pathela, Sultan Singh Rana |
10.5120/17289-7676
|
Ajit Singh Rathor, Mukesh Pathela, Sultan Singh Rana . PAPR Reduction in OFDM System using Wavelet SLM and PTS Technique. International Journal of Computer Applications. 98, 19 ( July 2014), 6-11. DOI=10.5120/17289-7676
Abstract
Recently researchers have developed many techniques to solve high PAPR problem. These techniques have some merits and demerits. The concentration of this research work is especially upon the Selected Mapping (SLM) and Partial Transmit Sequence (PTS) techniques using Wavelet transforms (IDWT and DWT) instead of conventional Fast Fourier Transforms. The Fourier transform is a powerful tool to analyze the components of stationary signals for example this transform is used to process the signals containing the combination of sine and cosine signals. But the Fourier transform is less useful to analyze the components of non stationary signals. In non stationary signals there is a change in the properties of the signal and these signals are analyzes in real time. The wavelet transform is used to analyze the components of non stationary signals. Using wavelets the filters for stationary and non stationary signals can also be constructed. The mathematics of wavelets is much large in comparison to Fourier transform and this can be said that mathematics of wavelets encompasses the Fourier transform. The size of wavelet theory is matched to the application area. The main difference between these two transforms is the wavelet transform can be localized in both frequency and time domain whereas the Fourier transform can only be localized in frequency [11].
References
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