TITLE:
Enhancing the Odd Peaks Detection in OFDM Systems Using Wavelet Transforms
AUTHORS:
Ahlam Damati, Omar Daoud, Qadri Hamarsheh
KEYWORDS:
Wavelet Transform, Entropy, MIMO, OFDM, PAPR
JOURNAL NAME:
International Journal of Communications, Network and System Sciences,
Vol.9 No.7,
July
21,
2016
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.