This letter presents a computational complexity reduction technique for space diversity based spectrum sensing when the number of receive antennas is greater than three (NR≥3 where NR is the number of receive antenna). The received signals are combined with phase inversion so as to not attenuate the combined signal, and a statistic for signal detection is computed from the combined signal. Because the computation of only one statistic is required regardless of the number of receive antenna, the complexity can be reduced. Numerical examples and simple analysis verify the effectiveness of the presented technique.
Shusuke NARIEDA
Mie Univ.
Hiroshi NARUSE
Mie Univ.
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Shusuke NARIEDA, Hiroshi NARUSE, "Spectrum Sensing Using Phase Inversion Based on Space Diversity with Over Three Antennas" in IEICE TRANSACTIONS on Fundamentals,
vol. E102-A, no. 8, pp. 974-977, August 2019, doi: 10.1587/transfun.E102.A.974.
Abstract: This letter presents a computational complexity reduction technique for space diversity based spectrum sensing when the number of receive antennas is greater than three (NR≥3 where NR is the number of receive antenna). The received signals are combined with phase inversion so as to not attenuate the combined signal, and a statistic for signal detection is computed from the combined signal. Because the computation of only one statistic is required regardless of the number of receive antenna, the complexity can be reduced. Numerical examples and simple analysis verify the effectiveness of the presented technique.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E102.A.974/_p
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@ARTICLE{e102-a_8_974,
author={Shusuke NARIEDA, Hiroshi NARUSE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Spectrum Sensing Using Phase Inversion Based on Space Diversity with Over Three Antennas},
year={2019},
volume={E102-A},
number={8},
pages={974-977},
abstract={This letter presents a computational complexity reduction technique for space diversity based spectrum sensing when the number of receive antennas is greater than three (NR≥3 where NR is the number of receive antenna). The received signals are combined with phase inversion so as to not attenuate the combined signal, and a statistic for signal detection is computed from the combined signal. Because the computation of only one statistic is required regardless of the number of receive antenna, the complexity can be reduced. Numerical examples and simple analysis verify the effectiveness of the presented technique.},
keywords={},
doi={10.1587/transfun.E102.A.974},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - Spectrum Sensing Using Phase Inversion Based on Space Diversity with Over Three Antennas
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 974
EP - 977
AU - Shusuke NARIEDA
AU - Hiroshi NARUSE
PY - 2019
DO - 10.1587/transfun.E102.A.974
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E102-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2019
AB - This letter presents a computational complexity reduction technique for space diversity based spectrum sensing when the number of receive antennas is greater than three (NR≥3 where NR is the number of receive antenna). The received signals are combined with phase inversion so as to not attenuate the combined signal, and a statistic for signal detection is computed from the combined signal. Because the computation of only one statistic is required regardless of the number of receive antenna, the complexity can be reduced. Numerical examples and simple analysis verify the effectiveness of the presented technique.
ER -