In this letter, a fast transmit antenna selection algorithm is proposed for the spatial-temporal combining-based spatial multiplexing ultra-wideband systems on a log-normal multipath fading channel. The presented suboptimum algorithm selects the transmit antennas associated with the largest signal to noise ratio value computed by one QR decomposition operation of the full channel matrix spatially and temporally combined. It performs the iterative channel scaling operation about the channel matrix and singular value decomposition about the channel scaled matrix. It is shown that the proposed antenna selection algorithm leads to a substantial improvement in the error performance while keeping low-complexity, and obtains almost the same error performance as the exhaustive search-based optimal antenna selection algorithm.
Sangchoon KIM
Dong-A University
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Sangchoon KIM, "Channel Scaling-Based Transmit Antenna Selection for 2-Dimensional Rake Combining Spatial Multiplexing UWB MIMO Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E96-A, no. 10, pp. 2061-2065, October 2013, doi: 10.1587/transfun.E96.A.2061.
Abstract: In this letter, a fast transmit antenna selection algorithm is proposed for the spatial-temporal combining-based spatial multiplexing ultra-wideband systems on a log-normal multipath fading channel. The presented suboptimum algorithm selects the transmit antennas associated with the largest signal to noise ratio value computed by one QR decomposition operation of the full channel matrix spatially and temporally combined. It performs the iterative channel scaling operation about the channel matrix and singular value decomposition about the channel scaled matrix. It is shown that the proposed antenna selection algorithm leads to a substantial improvement in the error performance while keeping low-complexity, and obtains almost the same error performance as the exhaustive search-based optimal antenna selection algorithm.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E96.A.2061/_p
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@ARTICLE{e96-a_10_2061,
author={Sangchoon KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Channel Scaling-Based Transmit Antenna Selection for 2-Dimensional Rake Combining Spatial Multiplexing UWB MIMO Systems},
year={2013},
volume={E96-A},
number={10},
pages={2061-2065},
abstract={In this letter, a fast transmit antenna selection algorithm is proposed for the spatial-temporal combining-based spatial multiplexing ultra-wideband systems on a log-normal multipath fading channel. The presented suboptimum algorithm selects the transmit antennas associated with the largest signal to noise ratio value computed by one QR decomposition operation of the full channel matrix spatially and temporally combined. It performs the iterative channel scaling operation about the channel matrix and singular value decomposition about the channel scaled matrix. It is shown that the proposed antenna selection algorithm leads to a substantial improvement in the error performance while keeping low-complexity, and obtains almost the same error performance as the exhaustive search-based optimal antenna selection algorithm.},
keywords={},
doi={10.1587/transfun.E96.A.2061},
ISSN={1745-1337},
month={October},}
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TY - JOUR
TI - Channel Scaling-Based Transmit Antenna Selection for 2-Dimensional Rake Combining Spatial Multiplexing UWB MIMO Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2061
EP - 2065
AU - Sangchoon KIM
PY - 2013
DO - 10.1587/transfun.E96.A.2061
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E96-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2013
AB - In this letter, a fast transmit antenna selection algorithm is proposed for the spatial-temporal combining-based spatial multiplexing ultra-wideband systems on a log-normal multipath fading channel. The presented suboptimum algorithm selects the transmit antennas associated with the largest signal to noise ratio value computed by one QR decomposition operation of the full channel matrix spatially and temporally combined. It performs the iterative channel scaling operation about the channel matrix and singular value decomposition about the channel scaled matrix. It is shown that the proposed antenna selection algorithm leads to a substantial improvement in the error performance while keeping low-complexity, and obtains almost the same error performance as the exhaustive search-based optimal antenna selection algorithm.
ER -