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In this paper, we apply the idea of deep learning to radar waveform recognition. Since the frequency variation with time is the most essential distinction among radar signals with different modulation types, we transform one-dimensional radar signals into time-frequency images (TFIs) using time-frequency analysis and design a convolutional neural network to recognize the frequency variation patterns...
In this paper, for radar signals with different ways of frequency or phase modulation, Cascade of Short Time Fourier Transform (STFT) and Principal Component Analysis (PCA) is employed for effective Feature Extraction. Compressive ratios of dimensions are quite impressive. For the same features, applying Naïve Bayes on the whole set of radar signals, higher accuracy rate is got than the case where...
PCM (phase-coded modulation) signal is a kind of radar signal that is widely used in many circumstances, such as PD processing, communication, etc. In wild electromagnetic environment, the identification of PCM signals is important in passive location system. STFT is an efficient method in time-frequency analysis, which can exactly identify PCM signals with wave-entropy analysis. Theory verification...
Pulse jamming is a kind of well-used active jamming against airborne pulse-Doppler radar. In this paper, the time-frequency characteristics of the pulse jamming are studied and a novel anti-jamming method is proposed based on joint time-frequency analysis for the airborne radar working in the frequency-modulated ranging (FMR) mode. Based on the time-frequency analysis on measured radar echoes, the...
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