DETECTION OF LINK 16 SIGNAL

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TEIMOURI M.

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Journal Paper

Paper Information

Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2017 | Volume:46 | Issue:4 (78) Page(s): 0-0

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Information Journal Paper

Title

DETECTION OF LINK 16 SIGNAL

Author(s)

TEIMOURI M. | Issue Writer Certificate

Keywords

LINK 16

DETECTION

MACHINE LEARNING

Abstract

Detection of LINK 16 signal, i.e. identifying the presence/absence of this system in battlefield, is of great interest. In this paper, a new method for DETECTION of LINK 16 signal is proposed with a very lower complexity and better performance compared to the current methods. Due to the periodic nature of transmitted energy, three different features are defined and extracted which result in a DETECTION probability more than 80% for the values of signal to noise ratio around -16 dB. Since this method extracts suitable features from the sampled signal and applies simple rules which are obtained via MACHINE LEARNING, it can be realized in real-time practical DETECTION systems.

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APA: Copy

TEIMOURI, M.. (2017). DETECTION OF LINK 16 SIGNAL. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 46(4 (78)), 0-0. SID. https://sid.ir/paper/682115/en

Vancouver: Copy

TEIMOURI M.. DETECTION OF LINK 16 SIGNAL. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2017;46(4 (78)):0-0. Available from: https://sid.ir/paper/682115/en

IEEE: Copy

M. TEIMOURI, “DETECTION OF LINK 16 SIGNAL,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 46, no. 4 (78), pp. 0–0, 2017, [Online]. Available: https://sid.ir/paper/682115/en

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