A multi-obstacle ultrasonic ranging method based on the random forest algorithm

Abstract

In ultrasonic measuring distance technology, traditional signal processing algorithms are difficult to analyze signals with long distances and weak echoes, and it is also impossible to measure the distance of multiple obstacles at the same time. In order to solve this problem, an ultrasonic measurement distance method based on random forest is proposed in this paper. Firstly the time domain characteristics of the signal—the relative peak amplitude and frequency domain characteristics—the relative area of the spectrum are extracted to judge the number of obstacles in the detection area by random forest method, and then calculates distance of obstacles. After the experiment, the algorithm can effectively measure the distance of multiple obstacles within 10 meters, and the measurement error is within 3 cm, which satisfies the practical application and has high practical value and theoretical reference significance.

Keywords

• measurement control system
• ultrasonic measurement distance
• multiple targets
• long distance
• signal processing