Abstract
This work proposes a new algorithm to enhance the performance of the speaker verification over the communication systems based Multiple-Input Multiple-Output (MIMO) - Orthogonal Frequency Division Multiplexing (OFDM) techniques. The algorithm mainly tackles and overcomes the effect of the high Peak-to-Average Power Ratio problem that is found in OFDM systems, MIMO-OFDM combination has been developed to meet the rapidly increment in the users demand such as the ubiquitous transmission, imposing new multimedia applications and wireless services. In this algorithm, wavelets techniques have been used to denoise the affected OFDM symbol by high PAPR values. After that and based on adaptive threshold method the local maxima and minima will be determined and replaced by the average of them and their surrounding neighbors; Denoise OFDM and Replace PAPR (DORP).
 A system performance investigation process will be accomplished based on both of numerical method and MATLAB simulation. Moreover, a comparison has been made to check the validity of our proposition either with our previously published work or with the literature. Although, the achieved results show that the proposed work has lower PAPR values; an additional complexity has been added to transceiverâ??s structure. Moreover, and as a result to the comparison with the conventional systems, the bit error rate (BER) performance has been improved for the same bandwidth occupancy.
 As a validity process a comparison has been made with the current values found in the literature and we have achieved around 30% PAPR extra reduction. That is in addition to around 90% verification rate and noise immunity.
Highlights
Over the last decade and due to the overwhelming huge data that the users’ create, transmit and/or manage; a challenge has been made to the wireless communication systems vendors to ease such complexities
The conventional Orthogonal Frequency Division Multiplex (OFDM)-based FFT transceiver has been simulated using MATLAB and its performance is compared with the one that is based on wavelet packet
Using an intensive modulation technique; QPSK, the Multiple-Input Multiple-Output (MIMO)-OFDM complementary cumulative distribution function (CCDF) value has been reduced at the 20dB threshold around 89% for the Denoise OFDM and Replace peak-to-average power ratio (PAPR) (DORP), which equals to 75% additional reduction over the conventional work that is based on FFT
Summary
Over the last decade and due to the overwhelming huge data that the users’ create, transmit and/or manage; a challenge has been made to the wireless communication systems vendors to ease such complexities. The peak-to-average power ratio (PAPR) is appears as a major drawback in the OFDM signal This deficiency could be defined as a large envelope fluctuation. Various schemes have been developed to reduce high PAPR and classified as distortion and distortion-less methods in OFDM signals [5,6,7,8,9] Those techniques reduce the PAPR at the expense of an increased, irreducible, symbol error rate at the receiver in addition to transmitting. In another publication [10], a new proposition of PAPR reduction technique to overcome those complexities shows that the average power is equal to the number of modulated OFDM subcarriers as shown in the mathematical derivation. The rest of paper is organized as follows; the introduced structure of the MIMO-OFDM system models is defined in Section 2, the numerical and simulation results are presented in Section 3, while the last section summarizes the conclusion
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