Threshold calculation scheme with filter bank in signal detection

Hiroyuki Odani; Yukitoshi Sanada

doi:10.1109/SmartGridComm.2016.7778746

Threshold calculation scheme with filter bank in signal detection

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	104-108
Number of pages	5
ISBN (Electronic)	9781509040759
DOIs	https://doi.org/10.1109/SmartGridComm.2016.7778746
Publication status	Published - 2016 Dec 8
Event	7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 - Sydney, Australia Duration: 2016 Nov 6 → 2016 Nov 9

Other

Other	7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
Country/Territory	Australia
City	Sydney
Period	16/11/6 → 16/11/9

ASJC Scopus subject areas

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

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10.1109/SmartGridComm.2016.7778746

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Odani, H & Sanada, Y 2016, Threshold calculation scheme with filter bank in signal detection. in 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

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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",

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doi = "10.1109/SmartGridComm.2016.7778746",

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booktitle = "2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016",

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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.

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T2 - 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016

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ER -

Threshold calculation scheme with filter bank in signal detection

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