Moussa, SherifRazik, Ahmed M. AbdelDahmane, Adel OmarHamam, Habib2020-01-302020-01-3020132013Moussa, S., Abdel Razik, A. M., Dahmane, A. O., & Hamam, H. (2013). FPGA implementation of floating-point complex matrix inversion based on GAUSS-JORDAN elimination. In Canadian Conference on Electrical and Computer Engineering. https://doi.org/10.1109/CCECE.2013.6567785978147990032908407789http://dx.doi.org/10.1109/CCECE.2013.6567785http://hdl.handle.net/20.500.12519/77This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) (2013), available online at: https://doi.org/10.1109/CCECE.2013.6567785.This work presents the architecture of an optimized complex matrix inversion using GAUSS-JORDAN elimination (GJ-elimination) on FPGA with single precision floating-point representation to be used in MIMO-OFDM receiver. This module consists of single precision floating point arithmetic components and control unit which perform the GJ-elimination algorithm. The proposed architecture performs the GJ-elimination for complex matrix element by element. Only critical arithmetic operations are calculated to get the needed values without performing all the arithmetic operations of the GJ-elimination algorithm. This results in a reduced hardware resources and execution time. © 2013 IEEE.enPermission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.Matrix inversionMIMOOFDMArithmetic operationsComplex matricesFPGA implementationsGauss-Jordan eliminationHardware resourcesProposed architecturesSingle precisionDigital arithmeticField programmable gate arrays (FPGA)Orthogonal frequency division multiplexingComputer architectureConference PaperCopyright : 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.