Radar Modulation Identification Using Inequality Measurement in Frequency Domain

초록

In this paper, we proposed a method for radar modulation identification based on the measurement of inequality in the frequency domain. Gini's coefficient was used to exploit the inequality in the powers of spectral components. The maximum likelihood classifier was used to classify the detected radar signal into four types of modulations: unmodulated signal (UM), linear frequency modulation (LFM), non-linear frequency modulation (NLFM), and frequency shift keying (FSK). The simulation results demonstrated that the proposed method achieves an overall identification accuracy of 98.6190 at a signal-to-noise ratio (SNR) of 6 dB without a priori information such as carrier frequency, pulse arrival times or pulse width.

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