Range resolution of ultrasonic distance measurement using single bit cross correlation for robots

Abstract

Ultrasonic sensors are widely used in distance measurement for robots. In practice, there is an important problem about the measurement resolution which is the ability to distinguish different targets. This paper is concern about the range resolution of the ultrasonic distance measurement using cross correlation. The highlight model is introduced to describe the resolution playing an important role in measurement. Then the resolution of cross correlation relies on ambiguity function of the signal. At the same time, the phase mismatch effect can be improved by using complex operation. The single bit correlation method can improve measurement error and reduce the computational complexity. The simulation results show that this method is suitable for distance measurement.