This paper presents a novel statistic computation technique for energy detection-based spectrum sensing with multiple antennas. The presented technique computes the statistic for signal detection after combining all the signals. Because the computation of the statistic for all the received signals is not required, the presented technique reduces the computational complexity. Furthermore, the absolute value of all the received signals are combined to prevent the attenuation of the combined signals. Because the statistic computations are not required for all the received signals, the reduction of the computational complexity for signal detection can be expected. Furthermore, the presented technique does not need to choose anything, such as the binary phase rotator in the conventional technique, and therefore, the performance degradation due to wrong choices can be avoided. Numerical examples indicate that the spectrum sensing performances of the presented technique are almost the same as those of conventional techniques despite the complexity of the presented technique being less than that of the conventional techniques.
Shusuke NARIEDA
Mie University
Hiroshi NARUSE
Mie University
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Shusuke NARIEDA, Hiroshi NARUSE, "Low Complexity Statistic Computation for Energy Detection Based Spectrum Sensing with Multiple Antennas" in IEICE TRANSACTIONS on Fundamentals,
vol. E103-A, no. 8, pp. 969-977, August 2020, doi: 10.1587/transfun.2019EAP1115.
Abstract: This paper presents a novel statistic computation technique for energy detection-based spectrum sensing with multiple antennas. The presented technique computes the statistic for signal detection after combining all the signals. Because the computation of the statistic for all the received signals is not required, the presented technique reduces the computational complexity. Furthermore, the absolute value of all the received signals are combined to prevent the attenuation of the combined signals. Because the statistic computations are not required for all the received signals, the reduction of the computational complexity for signal detection can be expected. Furthermore, the presented technique does not need to choose anything, such as the binary phase rotator in the conventional technique, and therefore, the performance degradation due to wrong choices can be avoided. Numerical examples indicate that the spectrum sensing performances of the presented technique are almost the same as those of conventional techniques despite the complexity of the presented technique being less than that of the conventional techniques.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2019EAP1115/_p
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@ARTICLE{e103-a_8_969,
author={Shusuke NARIEDA, Hiroshi NARUSE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Low Complexity Statistic Computation for Energy Detection Based Spectrum Sensing with Multiple Antennas},
year={2020},
volume={E103-A},
number={8},
pages={969-977},
abstract={This paper presents a novel statistic computation technique for energy detection-based spectrum sensing with multiple antennas. The presented technique computes the statistic for signal detection after combining all the signals. Because the computation of the statistic for all the received signals is not required, the presented technique reduces the computational complexity. Furthermore, the absolute value of all the received signals are combined to prevent the attenuation of the combined signals. Because the statistic computations are not required for all the received signals, the reduction of the computational complexity for signal detection can be expected. Furthermore, the presented technique does not need to choose anything, such as the binary phase rotator in the conventional technique, and therefore, the performance degradation due to wrong choices can be avoided. Numerical examples indicate that the spectrum sensing performances of the presented technique are almost the same as those of conventional techniques despite the complexity of the presented technique being less than that of the conventional techniques.},
keywords={},
doi={10.1587/transfun.2019EAP1115},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - Low Complexity Statistic Computation for Energy Detection Based Spectrum Sensing with Multiple Antennas
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 969
EP - 977
AU - Shusuke NARIEDA
AU - Hiroshi NARUSE
PY - 2020
DO - 10.1587/transfun.2019EAP1115
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E103-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2020
AB - This paper presents a novel statistic computation technique for energy detection-based spectrum sensing with multiple antennas. The presented technique computes the statistic for signal detection after combining all the signals. Because the computation of the statistic for all the received signals is not required, the presented technique reduces the computational complexity. Furthermore, the absolute value of all the received signals are combined to prevent the attenuation of the combined signals. Because the statistic computations are not required for all the received signals, the reduction of the computational complexity for signal detection can be expected. Furthermore, the presented technique does not need to choose anything, such as the binary phase rotator in the conventional technique, and therefore, the performance degradation due to wrong choices can be avoided. Numerical examples indicate that the spectrum sensing performances of the presented technique are almost the same as those of conventional techniques despite the complexity of the presented technique being less than that of the conventional techniques.
ER -