Title :
Adaptive filtering and target detection for ultrasonic backscattered signal
Author :
Monroe, Daniel ; Ahn, In Soo ; Lu, Yufeng
Author_Institution :
Dept. of Electr. & Comput. Eng., Bradley Univ., Peoria, IL, USA
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.
Keywords :
adaptive filters; backscatter; clutter; interference suppression; signal detection; ultrasonic applications; adaptive filtering; clutter rejection; detection capability; noise cancellation; target detection; ultrasonic backscattered signal; Adaptation model; Adaptive filters; Clutter; Noise cancellation; Time frequency analysis; adaptive filter; grain noise; ultrasonic backscattered signal;
Conference_Titel :
Electro/Information Technology (EIT), 2010 IEEE International Conference on
Conference_Location :
Normal, IL
Print_ISBN :
978-1-4244-6873-7
DOI :
10.1109/EIT.2010.5612106