The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Surat ini membentangkan teknik pengurangan kerumitan pengiraan untuk penderiaan spektrum berasaskan kepelbagaian ruang apabila bilangan antena penerima lebih besar daripada tiga (NR≥3 di mana NR ialah bilangan antena penerima). Isyarat yang diterima digabungkan dengan penyongsangan fasa supaya tidak melemahkan isyarat gabungan, dan statistik untuk pengesanan isyarat dikira daripada isyarat gabungan. Oleh kerana pengiraan hanya satu statistik diperlukan tanpa mengira bilangan antena penerima, kerumitan boleh dikurangkan. Contoh berangka dan analisis mudah mengesahkan keberkesanan teknik yang dibentangkan.
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.
Salinan
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
Salinan
@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},}
Salinan
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 -