Inverse QR 2D-RLS Adaptive Channel Estimation for OFDM Systems
Summary :
This letter proposes Inverse QR two-dimensional Recursive Least Square (IQR-2D-RLS) adaptive channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) systems (using Givens Rotations and Householder Transformations). It is more stable numerically than 2D-RLS algorithm. MATLAB simulations show that BER performance of IQR-2D-RLS algorithm is similar to that of 2D-RLS algorithm.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E93-B No.10 pp.2822-2825
- Publication Date
- 2010/10/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E93.B.2822
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
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Keyword
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Akshay SONI, Tanvi SHARMA, Vijaykumar CHAKKA, "Inverse QR 2D-RLS Adaptive Channel Estimation for OFDM Systems" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 10, pp. 2822-2825, October 2010, doi: 10.1587/transcom.E93.B.2822.
Abstract: This letter proposes Inverse QR two-dimensional Recursive Least Square (IQR-2D-RLS) adaptive channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) systems (using Givens Rotations and Householder Transformations). It is more stable numerically than 2D-RLS algorithm. MATLAB simulations show that BER performance of IQR-2D-RLS algorithm is similar to that of 2D-RLS algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.2822/_p
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@ARTICLE{e93-b_10_2822,
author={Akshay SONI, Tanvi SHARMA, Vijaykumar CHAKKA, },
journal={IEICE TRANSACTIONS on Communications},
title={Inverse QR 2D-RLS Adaptive Channel Estimation for OFDM Systems},
year={2010},
volume={E93-B},
number={10},
pages={2822-2825},
abstract={This letter proposes Inverse QR two-dimensional Recursive Least Square (IQR-2D-RLS) adaptive channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) systems (using Givens Rotations and Householder Transformations). It is more stable numerically than 2D-RLS algorithm. MATLAB simulations show that BER performance of IQR-2D-RLS algorithm is similar to that of 2D-RLS algorithm.},
keywords={},
doi={10.1587/transcom.E93.B.2822},
ISSN={1745-1345},
month={October},}
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TY - JOUR
TI - Inverse QR 2D-RLS Adaptive Channel Estimation for OFDM Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 2822
EP - 2825
AU - Akshay SONI
AU - Tanvi SHARMA
AU - Vijaykumar CHAKKA
PY - 2010
DO - 10.1587/transcom.E93.B.2822
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2010
AB - This letter proposes Inverse QR two-dimensional Recursive Least Square (IQR-2D-RLS) adaptive channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) systems (using Givens Rotations and Householder Transformations). It is more stable numerically than 2D-RLS algorithm. MATLAB simulations show that BER performance of IQR-2D-RLS algorithm is similar to that of 2D-RLS algorithm.
ER -
English
