Abstract Intra-pulse modulation recognition under negative signal-to-noise ratio (SNR) environment is a research challenge.This article presents a robust algorithm for siemens hr675gbs1s iq700 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 solo-jec 9 vaccine for dogs 90% when SNR is above -5 dB with large variation range in the signal parameters: copyright 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.