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http://dx.doi.org/10.5370/KIEE.2017.66.2.425

Identification of FSK Radar Modulation  

Lim, Ha-Young (Dept. of Electronic Engineering, Soongsil University)
You, Kyung-Jin (Dept. of Electronic Engineering, Soongsil University)
Shin, Hyun-Chool (Dept. of Electronic Engineering, Soongsil University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.66, no.2, 2017 , pp. 425-430 More about this Journal
Abstract
This paper presents a novel method for identification of FSK modulated radar signal. Three features which measure the number of frequency tones, the regularity of the frequency shifting, and the diversity of power spectrum of detected radar signal, are introduced. A Two-step combined maximum likelihood classifier was used to identify the details of the detected FSK signal; the modulation order and the use of Costas code. We attempted to divide FSK signal into binary FSK, ternary FSK, 8-ary FSK, and FSK with Costas code of length 7. The simulation results indicated that the proposed methods achieves an averaged identification accuracy was 99.93% at a signal-to-noise of 0 dB.
Keywords
Radar modulation; Frequency shift keying; Electronic warfare;
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Times Cited By KSCI : 2  (Citation Analysis)
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