Hardware Implementation of Blind Source Separation Algorithm Using ZYBO Z7&amp; Xilinx System Generator

Mekhfioui, Mohcin; Satif, Amal; Mouhib, Omar; Elgouri, Rachid; Hadjoudja, Abdelkader; Hlou, Laamari

doi:10.1109/redec49234.2020.9163836

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…The superposition is realized at the BS by adding the different symbols after power scaling both symbols are combined using superposition coding principle (SC); the more power is allocated to the far user (FU); the less power allocation ratio is allocated to the near user (NU), i.e., the information for both users is multiplexed in the BS using the same resource block (frequency/time) by allocating each user a different power coefficient by virtue of its channel conditions. The power allocation ensures fairness for all users by maintaining a specific BER thresholds for each user [22]. Hence, the signals ( ) received by users are described as shown by Eq.…”

Section: -1-downlink Nomamentioning

confidence: 99%

Implementation of Uplink and Downlink Non-Orthogonal Multiple Access (NOMA) on Zync FPGA Device

Belhani,

Semira,

Kheddara

et al. 2023

jist

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The non-orthogonal access schemes are one of the multiple access techniques that are candidates to become an access technique for the next generation access radio. Power-domain non-orthogonal multiple-access (NOMA) is among these promising technologies. Improving the network capacity by providing massive connectivity through sharing the same spectral resources is the main advantage that this technique offers. The NOMA technique consists of exploiting the power domain which multiplex multiple users on the same resources applying a superposition coding then separating the multiplexed users at the receiver side. Due to the non-orthogonality access technique, the main disadvantage of NOMA is the presence of interferences between users. That is why this scheme is based on a successive interference cancelation (SIC) detector that separates the multiplexed signals at the receiver. In this paper, an embedded system is considered for designing and implementation of the power-NOMA For two users. The implementation is realized by employing a Zynq FPGA (Field programmable gate array) device through the Zybo-Z7 board using MATLAB/Simulink environment and Xilinx System Generator. The features offered by this device, hemps to consider the design of an uplink and a downlink scenario over Rayleigh fading channel in additive white Gaussian noise (AWGN) environment.

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Section: -1-downlink Nomamentioning

confidence: 99%

Implementation of Uplink and Downlink Non-Orthogonal Multiple Access (NOMA) on Zync FPGA Device

Belhani,

Semira,

Kheddara

et al. 2023

jist

View full text Add to dashboard Cite

show abstract

“…It is a general purpose development platform. It integrates an HDMI port, several USB ports including one for programming, several switches, several push buttons, a slot for SD card and especially 512Mb of DDR3 [11].…”

Section: E Overview Of the Zynq Familymentioning

confidence: 99%

FPGA based Hardware Co-Simulation Implementation for RealTime Image Blind Separation using ICA Algorithms

Benahmed¹,

Mekhfioui²,

Guennoun³

2022

IJETAE

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The use of mixed image sources requires digital preprocessing to separate them, for making easier their storage and improve their quality. The ICALAB for Image Processing method is one of the solutions proposed for the blind efficient separation of signals without prior knowledge of the source images. Nevertheless, to choose the appropriate algorithm with the most efficient separation index, several tests are carried out on a certain number of algorithms, with off-line processing of image samples bases, by means of software tools which are generally installed on a computer, such as ICALAB, TIPICA, GIFT, NMFLAB, model identification UBSS, ... Thus, in order to perform the image separation processing in real time, this study aims to develop a rapid prototyping embedded system for implementing the blind source separation concept. It mainly provides a promising approach for implementing twelve efficient blind image separation algorithms on the ZYBO Z7 FPGA board, using Xilinx System Generator (XSG) for Real Time Hardware Co-simulation. As an application example, this study deals with the blind separation of two e-frames mixture, and then provides the adequate algorithm, basing on the calculation of the Performance Index (PI), and the separated images results. Keywords—Blind Image Separation; Hardware CoSimulation; Independent Component Algorithm (ICA); Xilinx System Generator (XSG); Zynq-7000; VHDL.

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Implementation of High Level Synthesis for Adaptive FIR Filtering on Embedded System

Sitjongsataporn

Thitinaruemit

Prongnuch

2021

2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)

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Hardware Implementation of Blind Source Separation Algorithm Using ZYBO Z7& Xilinx System Generator

Cited by 5 publications

References 8 publications

Implementation of Uplink and Downlink Non-Orthogonal Multiple Access (NOMA) on Zync FPGA Device

Implementation of Uplink and Downlink Non-Orthogonal Multiple Access (NOMA) on Zync FPGA Device

FPGA based Hardware Co-Simulation Implementation for RealTime Image Blind Separation using ICA Algorithms

Implementation of High Level Synthesis for Adaptive FIR Filtering on Embedded System

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