IEICE TRANSACTIONS on Fundamentals
Application of Noise-Enhanced Detection of Subthreshold Signals for Communication Systems
Summary :
A signal detection system using noise statistical processing is proposed. By approaching the problems of low voltage and high noise from miniaturization of a device from a stochastic point of view, a faint-signal receiving system that can effectively detect subthreshold and noise level signals has been developed. In addition, an alternative to statistical processing is proposed, and would be successfully implemented on a circuit. For the proposed signal detection method, the detection sensitivity was investigated using numerical simulation, and the detection sensitivity was sufficiently high to detect even a signal with a signal-to-inherent-noise ratio of -14 dB. Thus, it is anticipated that the application of this system to an integrated circuit will have a significant impact on signal processing.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E92-A No.4 pp.1012-1018
- Publication Date
- 2009/04/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E92.A.1012
- Type of Manuscript
- Special Section PAPER (Special Section on Advanced Technologies Emerging Mainly from the 21st Workshop on Circuits and Systems in Karuizawa)
- Category
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Hyunju HAM, Toshimasa MATSUOKA, Kenji TANIGUCHI, "Application of Noise-Enhanced Detection of Subthreshold Signals for Communication Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 4, pp. 1012-1018, April 2009, doi: 10.1587/transfun.E92.A.1012.
Abstract: A signal detection system using noise statistical processing is proposed. By approaching the problems of low voltage and high noise from miniaturization of a device from a stochastic point of view, a faint-signal receiving system that can effectively detect subthreshold and noise level signals has been developed. In addition, an alternative to statistical processing is proposed, and would be successfully implemented on a circuit. For the proposed signal detection method, the detection sensitivity was investigated using numerical simulation, and the detection sensitivity was sufficiently high to detect even a signal with a signal-to-inherent-noise ratio of -14 dB. Thus, it is anticipated that the application of this system to an integrated circuit will have a significant impact on signal processing.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.1012/_p
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@ARTICLE{e92-a_4_1012,
author={Hyunju HAM, Toshimasa MATSUOKA, Kenji TANIGUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Application of Noise-Enhanced Detection of Subthreshold Signals for Communication Systems},
year={2009},
volume={E92-A},
number={4},
pages={1012-1018},
abstract={A signal detection system using noise statistical processing is proposed. By approaching the problems of low voltage and high noise from miniaturization of a device from a stochastic point of view, a faint-signal receiving system that can effectively detect subthreshold and noise level signals has been developed. In addition, an alternative to statistical processing is proposed, and would be successfully implemented on a circuit. For the proposed signal detection method, the detection sensitivity was investigated using numerical simulation, and the detection sensitivity was sufficiently high to detect even a signal with a signal-to-inherent-noise ratio of -14 dB. Thus, it is anticipated that the application of this system to an integrated circuit will have a significant impact on signal processing.},
keywords={},
doi={10.1587/transfun.E92.A.1012},
ISSN={1745-1337},
month={April},}
Copy
TY - JOUR
TI - Application of Noise-Enhanced Detection of Subthreshold Signals for Communication Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1012
EP - 1018
AU - Hyunju HAM
AU - Toshimasa MATSUOKA
AU - Kenji TANIGUCHI
PY - 2009
DO - 10.1587/transfun.E92.A.1012
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2009
AB - A signal detection system using noise statistical processing is proposed. By approaching the problems of low voltage and high noise from miniaturization of a device from a stochastic point of view, a faint-signal receiving system that can effectively detect subthreshold and noise level signals has been developed. In addition, an alternative to statistical processing is proposed, and would be successfully implemented on a circuit. For the proposed signal detection method, the detection sensitivity was investigated using numerical simulation, and the detection sensitivity was sufficiently high to detect even a signal with a signal-to-inherent-noise ratio of -14 dB. Thus, it is anticipated that the application of this system to an integrated circuit will have a significant impact on signal processing.
ER -
English
