A Novel Life Signal Feature Extraction and Analysis Technique

Life detection radar is widely applied in life detection, especially in situations that demand searching life signal through ruins after disasters. In these circumstances, weak signal feature extraction and analysis are vital technologies. Because of the clutter of environment objects, life signal that received by radar is seriously weak. Traditional methods cannot separate life signal from clutter and noise. This paper propose an algorithm combined with feedback pulse canceller, multiple autocorrelation and synchronous squeeze S-transform (SSST). This method can effectively suppress the clutter and remove the environment noise, then obtain a high-resolution time-frequency distribution. In this way we can make best of life signal feature and classify the type of living target.