Threshold calculation scheme with filter bank in signal detection

Hiroyuki Odani, Yukitoshi Sanada

研究成果: Conference contribution

抄録

In signal detection for cognitive radio, it is desirable to calculate a threshold within a short observation period since noise power changes in accordance with the amplification factor and the temperature of a low noise amplifier in a receiver. This paper proposes a threshold calculation scheme with a filter bank. The proposed scheme uses a more number of noise samples output from the filter bank to calculate the threshold. Thus, the proposed scheme can improve the accuracy of the calculated thresholds and it leads to increase the probability of detection. Numerical results obtained through computer simulation show that the proposed scheme reduces the required sample per energy by 0.5dB at a detection probability of 0.99.

元の言語English
ホスト出版物のタイトル2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
出版者Institute of Electrical and Electronics Engineers Inc.
ページ104-108
ページ数5
ISBN(電子版)9781509040759
DOI
出版物ステータスPublished - 2016 12 8
イベント7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 - Sydney, Australia
継続期間: 2016 11 62016 11 9

Other

Other7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
Australia
Sydney
期間16/11/616/11/9

Fingerprint

Filter Banks
Signal Detection
Signal detection
Filter banks
Probability of Detection
Low noise amplifiers
Cognitive radio
Amplification
Low Noise Amplifier
Calculate
Cognitive Radio
Computer simulation
Receiver
Computer Simulation
Numerical Results
Temperature
Output
Energy

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Control and Optimization
  • Signal Processing

これを引用

Odani, H., & Sanada, Y. (2016). Threshold calculation scheme with filter bank in signal detection. : 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 (pp. 104-108). [7778746] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartGridComm.2016.7778746

Threshold calculation scheme with filter bank in signal detection. / Odani, Hiroyuki; Sanada, Yukitoshi.

2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 104-108 7778746.

研究成果: Conference contribution

Odani, H & Sanada, Y 2016, Threshold calculation scheme with filter bank in signal detection. : 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016., 7778746, Institute of Electrical and Electronics Engineers Inc., pp. 104-108, 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016, Sydney, Australia, 16/11/6. https://doi.org/10.1109/SmartGridComm.2016.7778746
Odani H, Sanada Y. Threshold calculation scheme with filter bank in signal detection. : 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 104-108. 7778746 https://doi.org/10.1109/SmartGridComm.2016.7778746
Odani, Hiroyuki ; Sanada, Yukitoshi. / Threshold calculation scheme with filter bank in signal detection. 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 104-108
@inproceedings{a5a0575201ca49c397bed6d91f815594,
title = "Threshold calculation scheme with filter bank in signal detection",
abstract = "In signal detection for cognitive radio, it is desirable to calculate a threshold within a short observation period since noise power changes in accordance with the amplification factor and the temperature of a low noise amplifier in a receiver. This paper proposes a threshold calculation scheme with a filter bank. The proposed scheme uses a more number of noise samples output from the filter bank to calculate the threshold. Thus, the proposed scheme can improve the accuracy of the calculated thresholds and it leads to increase the probability of detection. Numerical results obtained through computer simulation show that the proposed scheme reduces the required sample per energy by 0.5dB at a detection probability of 0.99.",
author = "Hiroyuki Odani and Yukitoshi Sanada",
year = "2016",
month = "12",
day = "8",
doi = "10.1109/SmartGridComm.2016.7778746",
language = "English",
pages = "104--108",
booktitle = "2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Threshold calculation scheme with filter bank in signal detection

AU - Odani, Hiroyuki

AU - Sanada, Yukitoshi

PY - 2016/12/8

Y1 - 2016/12/8

N2 - In signal detection for cognitive radio, it is desirable to calculate a threshold within a short observation period since noise power changes in accordance with the amplification factor and the temperature of a low noise amplifier in a receiver. This paper proposes a threshold calculation scheme with a filter bank. The proposed scheme uses a more number of noise samples output from the filter bank to calculate the threshold. Thus, the proposed scheme can improve the accuracy of the calculated thresholds and it leads to increase the probability of detection. Numerical results obtained through computer simulation show that the proposed scheme reduces the required sample per energy by 0.5dB at a detection probability of 0.99.

AB - In signal detection for cognitive radio, it is desirable to calculate a threshold within a short observation period since noise power changes in accordance with the amplification factor and the temperature of a low noise amplifier in a receiver. This paper proposes a threshold calculation scheme with a filter bank. The proposed scheme uses a more number of noise samples output from the filter bank to calculate the threshold. Thus, the proposed scheme can improve the accuracy of the calculated thresholds and it leads to increase the probability of detection. Numerical results obtained through computer simulation show that the proposed scheme reduces the required sample per energy by 0.5dB at a detection probability of 0.99.

UR - http://www.scopus.com/inward/record.url?scp=85010204700&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85010204700&partnerID=8YFLogxK

U2 - 10.1109/SmartGridComm.2016.7778746

DO - 10.1109/SmartGridComm.2016.7778746

M3 - Conference contribution

AN - SCOPUS:85010204700

SP - 104

EP - 108

BT - 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -