The target echo signals are often very weak in low signal-to-noise(SNR)ratio scenarios and it is diffi-cult for radar to detect the signals,which includes some important information that are more difficult to identify.Therefore,effective measures are adopted to explore weak SNR targets affected by noise.This study uses the tech-nique of time-space synchronization fusion of networked radar echo data to align and superimpose multiple sets of radar echo information in time and frequency.Through single class signal simulation testing,under the same condi-tions,targets that ordinary radars cannot accurately identify can be effectively recognized through the superposition signal.This method is still applicable through mixed testing of multiple types of radar signals.Experiments prove that this method is effective and has a wide range of adaptability,which can be extended to other fields of radar sig-nal processing and provide a new approach for radar signal processing.
国家科技期刊平台
NSTL
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