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This letter presents a computational complexity reduction technique for space diversity based spectrum sensing when the number of receive antennas is greater than three (*N*_{R}≥3 where *N*_{R} 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.

- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E102-A No.8 pp.974-977

- Publication Date
- 2019/08/01

- Publicized

- Online ISSN
- 1745-1337

- DOI
- 10.1587/transfun.E102.A.974

- Type of Manuscript
- LETTER

- Category
- Communication Theory and Signals

Shusuke NARIEDA

Mie Univ.

Hiroshi NARUSE

Mie Univ.

The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.

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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 (*N*_{R}≥3 where *N*_{R} 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 (*N*_{R}≥3 where *N*_{R} 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 (*N*_{R}≥3 where *N*_{R} 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 -