Adaptive filtering and target detection for ultrasonic backscattered signal

Abstract

In radar, sonar, medical ultrasound, and ultrasonic nondestructive evaluation, environmental noise makes target detection challenging. Therefore, clutter rejection and noise cancellation are necessary for the system to correctly identify targets. In this study, an adaptive filtering algorithm is used to reject clutter and detect small targets in noisy ultrasonic backscattered signals. Simulation and experimental results show that adaptive filter can efficiently reduce the clutter and improve the detection capability.