UWB Radar-Based Human Vital Signal and Range Detection Beyond Obstacles

The need for safety and detection during an emergency situation like an earthquake requires advanced detection techniques for rescue operations in a complex environment. When it comes to search and rescue missions in disaster relief areas, UWB radar plays a crucial role. Human detection through radar relies primarily on human vital signs, especially breathing. This difference is crucial for distinguishing human targets from stationary objects. Methods to reduce background clutter have already been established based on various clutter reduction algorithms like simple moving average filters, exponential weight subtraction methods, and Singular Value Decomposition (SVD). Our proposed clutter reduction method consists of a combination of various clutter reduction techniques, yielding better results in locating humans. Also, the vital signs such as respiration and heartbeat signals are extracted and reconstructed using Empirical Mode Decomposition (EMD) methods