Enhancing the Odd Peaks Detection in OFDM Systems Using Wavelet Transforms  

作　　者：Ahlam Damati Omar Daoud Qadri Hamarsheh Ahlam Damati;Omar Daoud;Qadri Hamarsheh(Department of Electrical Engineering, Philadelphia University, Amman, Jordan;Department of Communications and Electronics Engineering, Philadelphia University, Amman, Jordan;Department of Computer Engineering, Philadelphia University, Amman, Jordan)

机构地区：[1]Department of Electrical Engineering, Philadelphia University, Amman, Jordan [2]Department of Communications and Electronics Engineering, Philadelphia University, Amman, Jordan [3]Department of Computer Engineering, Philadelphia University, Amman, Jordan

出　　处：《International Journal of Communications, Network and System Sciences》2016年第7期295-303,共9页通讯、网络与系统学国际期刊（英文）

摘　　要：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.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.

关 键 词：Wavelet Transform ENTROPY MIMO OFDM PAPR 

分 类 号：TN9[电子电信—信息与通信工程]