Matrix inversion algorithm acting an important role in MIMO wireless communication.In this paper, we presenta matrix inversion algorithm and it’s applications in the high speed MIMO LTE receiver which is based on floating point DSP. Matrix operations are the most costly computational module within MIMO receivers but a matrix inversion algorithm is very easy to compute and significantly reduce the computational module cost. We will demonstrate the MIMO LTE applications for reducing the module cost by square matrix inversion algorithms.
| Published in | American Journal of Networks and Communications (Volume 1, Issue 1) |
| DOI | 10.11648/j.ajnc.20120101.11 |
| Page(s) | 1-6 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
System Model;MIMO-LTE, Matrix Inversion Algorithm; Polar Decomposition, Matrix Inversion; Floating Point DSP, Implementation
| [1] | Mohamed Chouayakh, AndressKnopp, and Berthold Lankl, Low Complexity Two Stage Detection Scheme for MIMO Systems IEEE Information Theory for Wireless Network, 1-4244-1200-5/07/2007. |
| [2] | MarjanKarkooti, Josep R. Cavallaro, Chris Dick, FPGA Implementation of Matrix Inversion Using QRD-RLS Algo-rithm, 1-4244-0132-1/2005 IEEE. |
| [3] | www.Altera.com, www.Xilinx.com. |
| [4] | H. K. W. M Gentleman, MatrixTriangularization by Systolic Arrays, Real-Time Signal Processing, vol.298, pp.19-26, 1981. |
| [5] | M. Myllyla, J. Hintikka, J. Cavallaro, M.Juntti, M. Limingoja, and A. Byman, Complexity Analysis of MMSE Detector Architecture for MIMO-OFDM System, in Proceedings of the 2005 Asilomar Conference, Pacific Grove, CA, Oct 30-Nov 2 2005. |
| [6] | LuoJianwen, Jong ChingChuen, Matrix Inversion on Re-configurable Hardware Using Binary CCoded Z-Path COR-DIC, APCCAS 2006. |
| [7] | Moon Ho Lee,SundarRajan, J.Y. Park, A Generalized Reverse Jacket Transform, IEEE Transactions on Circuit Systems-II: Analog and Digital Signal Processing, Vol.48 No.7, July 2001. |
| [8] | Moon Ho Lee, A New Reverse Jacket Transform and Its Fast Algoritham, IEEE Transactions on Circuit Systems-II: Analog and Digital Signal Processing, Vol.47 No.1, July 2000. |
| [9] | Di Wu. Johan Eilert and Dake Liu, Dandan Wang, Naofal Al-Dhahir and HlaingMinn, Fast Complex Valued Matrix Inversion for Multi-User STBC MIMO Decoding VLSI, 2007, ISVLSI 07, IEEE Computer Society Annual Sympo-sium, pp.325-330, March 2007. |
| [10] | Shodai Yokoyama, Kazuya Matsumoto, and Stanislar G. Sedukhin, Matrix Inversion on the Cell/B.E. Process, 11th IEEE International Conference on High Performance Com-puting and Communication, 2009. |
APA Style
Moon Ho Lee. (2012). Matrix Inversion Algorithm: Applications in High Speed MIMO LTE Receiver. American Journal of Networks and Communications, 1(1), 1-6. https://doi.org/10.11648/j.ajnc.20120101.11
ACS Style
Moon Ho Lee. Matrix Inversion Algorithm: Applications in High Speed MIMO LTE Receiver. Am. J. Netw. Commun. 2012, 1(1), 1-6. doi: 10.11648/j.ajnc.20120101.11
AMA Style
Moon Ho Lee. Matrix Inversion Algorithm: Applications in High Speed MIMO LTE Receiver. Am J Netw Commun. 2012;1(1):1-6. doi: 10.11648/j.ajnc.20120101.11
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ajnc.20120101.11,
author = {Moon Ho Lee},
title = {Matrix Inversion Algorithm: Applications in High Speed MIMO LTE Receiver},
journal = {American Journal of Networks and Communications},
volume = {1},
number = {1},
pages = {1-6},
doi = {10.11648/j.ajnc.20120101.11},
url = {https://doi.org/10.11648/j.ajnc.20120101.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnc.20120101.11},
abstract = {Matrix inversion algorithm acting an important role in MIMO wireless communication.In this paper, we presenta matrix inversion algorithm and it’s applications in the high speed MIMO LTE receiver which is based on floating point DSP. Matrix operations are the most costly computational module within MIMO receivers but a matrix inversion algorithm is very easy to compute and significantly reduce the computational module cost. We will demonstrate the MIMO LTE applications for reducing the module cost by square matrix inversion algorithms.},
year = {2012}
}
TY - JOUR T1 - Matrix Inversion Algorithm: Applications in High Speed MIMO LTE Receiver AU - Moon Ho Lee Y1 - 2012/12/30 PY - 2012 N1 - https://doi.org/10.11648/j.ajnc.20120101.11 DO - 10.11648/j.ajnc.20120101.11 T2 - American Journal of Networks and Communications JF - American Journal of Networks and Communications JO - American Journal of Networks and Communications SP - 1 EP - 6 PB - Science Publishing Group SN - 2326-8964 UR - https://doi.org/10.11648/j.ajnc.20120101.11 AB - Matrix inversion algorithm acting an important role in MIMO wireless communication.In this paper, we presenta matrix inversion algorithm and it’s applications in the high speed MIMO LTE receiver which is based on floating point DSP. Matrix operations are the most costly computational module within MIMO receivers but a matrix inversion algorithm is very easy to compute and significantly reduce the computational module cost. We will demonstrate the MIMO LTE applications for reducing the module cost by square matrix inversion algorithms. VL - 1 IS - 1 ER -
Information
Email: