Intra-pulse modulation recognition using short-time ramanujan Fourier transform spectrogram

被引：0
作者：
Xiurong Ma
Dan Liu
Yunlong Shan
机构：
[1] Tianjin University of Technology,The Department of Computer and Communication Engineering, Engineering Research Center of Communication Devices and Technology, Ministry of Education, Tianjin Key Laboratory of Film Electronic and Communication Devices
来源：
EURASIP Journal on Advances in Signal Processing | / 2017卷
关键词：
Intra-pulse modulation recognition; Pseudo-Zernike moments; Short-Time Ramanujan Fourier Transform; Probability of successful recognition;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Intra-pulse modulation recognition under negative signal-to-noise ratio (SNR) environment is a research challenge. This article presents a robust algorithm for the recognition of 5 types of radar signals with large variation range in the signal parameters in low SNR using the combination of the Short-time Ramanujan Fourier transform (ST-RFT) and pseudo-Zernike moments invariant features. The ST-RFT provides the time-frequency distribution features for 5 modulations. The pseudo-Zernike moments provide invariance properties that are able to recognize different modulation schemes on different parameter variation conditions from the ST-RFT spectrograms. Simulation results demonstrate that the proposed algorithm achieves the probability of successful recognition (PSR) of over 90% when SNR is above -5 dB with large variation range in the signal parameters: carrier frequency (CF) for all considered signals, hop size (HS) for frequency shift keying (FSK) signals, and the time-bandwidth product for Linear Frequency Modulation (LFM) signals.
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