Enhancing the MIMO-OFDM Radar systems performance using GA

Daoud, Omar; Damati, Ahlam; Al-Sawalmeh, Wael

doi:10.1109/ssd.2010.5585516

Cited by 2 publications

(1 citation statement)

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“…The aforementioned problem has been taken into consideration and tackled in some of our previously published work (Daoud et al, 2016(Daoud et al, , 2012a(Daoud et al, , 2012bDaoud, 2015); starting from using the idea of making use of different linear coding techniques in order to spread the affected OFDM symbols; then imposing the artificial intelligence (AI) such as the neural networks, wavelets; after that using special signal processing such as adaptive clipping and the pulse width modulation.…”

Section: Introductionmentioning

confidence: 99%

Wavelet transformation method to allocate the DVB-T signals peaks

Daoud

Hamarsheh

Damati

2017

IJDSSS

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Abstract:Terrestrial digital video broadcasting (DVB-T) is considered as one of the main two popular broadcasting standards, which facilitates the transmission of digital television in handheld receivers. In this work, a comparison will be held on the physical layer level in order to enhance the wireless systems' performance. It is attained by exploiting a recently published work that is based on the wavelets entropy and a new proposition that is based on a special averaging technique. Those two propositions have been used to tackle the peak-to-average power ratio (PAPR) problem that is found in the used orthogonal frequency division multiplexing (OFDM) technique. This comparison asset from BER curves and CCDF curves in order to distinguish between them. A MATLAB simulation has been run in order to validate the numerical achieved results of the proposed work. At the same bandwidth occupancy of the speaker verification-based systems, the proposed technique shows additional enhancement in both of CCDF and BER curves. Moreover, it reduces the previously added complexity to the structure in the receiver side. An extra 25% reduction is achieved in the essence of PAPR and around 35% extra noise immunity.Keywords: orthogonal frequency division multiplexing; OFDM; wavelet transform; peak-to-average power ratio; PAPR; entropy; clipping; selective mapping; SLM; signal processing.Reference to this paper should be made as follows: Daoud, O.R., Hamarsheh, Q.J. and Damati, A. (2017) 'Wavelet transformation method to allocate the DVB-T signals peaks', Int.

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Section: Introductionmentioning

confidence: 99%