Research on ultrasonic signal processing based on improved FOA matching pursuit

Aiming at the problems of common matching pursuit algorithms in signal sparse decomposition, such as time-consuming calculation and inaccurate decomposition, this article proposes a new improved fruit fly optimization algorithm (FOA), which combines the chaotic mapping and local searching, is applied in matching pursuit to improve the speed and accuracy of the signal sparse decomposition. The new method was applied both in the processing of ultrasonic echo simulation signal and the heat exchanger fouling ultrasonic detection signal, and compared with several other common matching pursuit algorithms. The results show that the improved fruit fly optimization matching pursuit algorithm can increase the speed of the signal sparse decomposition and obtain better de-noising and information extracting effect at the same time. This method is of great importance to the processing of ultrasonic detection signals.