Detection of fast frequency-hopping signals using dirty template in the frequency domain

Kyung Gyu Lee; Seong Jun Oh

doi:10.1109/LWC.2018.2870275

Detection of fast frequency-hopping signals using dirty template in the frequency domain

Kyung Gyu Lee, Seong Jun Oh

School of Cybersecurity

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

The frequency-hopping technique is widely used in commercial and military communications for its superiority in anti-jamming and low probability of interception and detection capabilities. To further lower its detection probability, a frequency-hopping signal randomly changes its carrier frequency within a transmission symbol. Conventional detection methods have poor performance in the presence of fast frequency-hopping signals. To solve this problem, we propose a dirty-template-based detection scheme. Dirty Template was originally proposed to blindly estimate the time delay in an ultra-wide-band system. We propose that it can be employed in the frequency domain to detect fast frequency-hopping signal. The decision statistic derived from the cross-correlation between the template and received signals in the frequency domain is analyzed. Using this cross-correlation, a detection scheme, based on the Neyman-Pearson test is proposed. The simulation results show that the dirty-template-based scheme outperforms the autocorrelation-based scheme when the hopping period is short.

Original language	English
Article number	8465961
Pages (from-to)	281-284
Number of pages	4
Journal	IEEE Wireless Communications Letters
Volume	8
Issue number	1
DOIs	https://doi.org/10.1109/LWC.2018.2870275
Publication status	Published - 2019 Feb

Keywords

Detection
dirty template
fast frequency hopping
frequency hopping

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/LWC.2018.2870275

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title = "Detection of fast frequency-hopping signals using dirty template in the frequency domain",

abstract = "The frequency-hopping technique is widely used in commercial and military communications for its superiority in anti-jamming and low probability of interception and detection capabilities. To further lower its detection probability, a frequency-hopping signal randomly changes its carrier frequency within a transmission symbol. Conventional detection methods have poor performance in the presence of fast frequency-hopping signals. To solve this problem, we propose a dirty-template-based detection scheme. Dirty Template was originally proposed to blindly estimate the time delay in an ultra-wide-band system. We propose that it can be employed in the frequency domain to detect fast frequency-hopping signal. The decision statistic derived from the cross-correlation between the template and received signals in the frequency domain is analyzed. Using this cross-correlation, a detection scheme, based on the Neyman-Pearson test is proposed. The simulation results show that the dirty-template-based scheme outperforms the autocorrelation-based scheme when the hopping period is short.",

keywords = "Detection, dirty template, fast frequency hopping, frequency hopping",

author = "Lee, {Kyung Gyu} and Oh, {Seong Jun}",

note = "Funding Information: Manuscript received June 11, 2018; revised July 26, 2018; accepted September 6, 2018. Date of publication September 14, 2018; date of current version February 19, 2019. This work was supported by the Research fund of Signal Intelligence Research Center supervised by Defense Acquisition Program Administration and Agency for Defense Development of South Korea. The associate editor coordinating the review of this paper and approving it for publication was W. Zhang. (Corresponding author: Seong-Jun Oh.) The authors are with Korea University, Seoul 02841, South Korea (e-mail: dgmstt@korea.ac.kr; seongjun@korea.ac.kr). Digital Object Identifier 10.1109/LWC.2018.2870275 Publisher Copyright: {\textcopyright} 2012 IEEE.",

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Detection of fast frequency-hopping signals using dirty template in the frequency domain

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Keywords

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