Abstract
This work aims to study the effect of unwanted peaks and enhance the performance of wireless systems on the basis of tackling such peaks. A new proposition has been made based on wavelet transform method and its entropy. Signals with large peak-to-average power ratio (PAPR) will be examined such as the ones that are considered as the major Orthogonal Frequency Division Multiplexing (OFDM) systems drawbacks. Furthermore, aspatial diversity Multiple-Input Multiple- Out-put (MIMO) technology is used to overcome the complexity addition that could arise in our proposition. To draw the best performance of this work, a MATLAB simulation has been used; it is divided into three main stages, namely, MIMO-OFDM symbols’ reconstruction based on wavelet transform, a predetermined thresholding formula, and finally, moving filter. This algorithm is called Peaks’ detection based Entropy Wavelet Transform; PD-EWT. Based on the simulation, and under some constrains such as the bandwidth occupancy and the complexity structure of the transceivers, a peak detection ratio has been achieved and reaches around 0.85. Comparing with our previously published works, the PD-EWT enhances detection ratio for 0.25 more peaks.
Highlights
The overwhelming huge data due to the highly demand for the various wireless and cellular system’s applications attract the researchers’ interest to handle these effects on the wireless systems
The novelty in this work rises from the way of dealing with the entropy of the wavelet coefficients to determine the peaks in the Orthogonal Frequency Division Multiplexing (OFDM) signal before the transmission
These results check the performance of our system from reducing the peak-to-average power ratio (PAPR) problem point of view for two different modulation techniques; 16QAM and Binary-Phase Shift Keying (BPSK), respectively
Summary
The overwhelming huge data due to the highly demand for the various wireless and cellular system’s applications attract the researchers’ interest to handle these effects on the wireless systems. During the last two decades, their attentions have been focused on the combination between the Orthogonal Frequency Division. How to cite this paper: Damati, A., Daoud, O. and Hamarsheh, Q. (2016) Enhancing the Odd Peaks Detection in OFDM Systems Using Wavelet Transforms. Communications, Network and System Sciences, 9, 295-303. Multiplex (OFDM) modulation technique and the Multiple-Input Multiple-Output (MIMO) technology. We are talking a data rate of around more than 100 Mbps for such systems. The OFDM systems use the parallel transmission, while the MIMO technologies have been employed to reduce the effect of the rich scattering environments
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