Optimization of Ultrasonic Positioning Accuracy by Hybrid Algorithm of Time Compensation Factor and Kalman Filter

Abstract

In the ultrasonic positioning system, the positioning system has a certain delay due to the sequential ranging at the ultrasonic receiver, the system's decoding time and the signal transmission time, which has a great impact on the positioning accuracy. The solution is to set a time compensation factor for the speed of the object to be positioned and the positioning time of the system unit to compensate for the error, so as to achieve the same positioning accuracy when the object to be positioned is stationary; then the Kalman filter algorithm is used to correct the positioning results at different speeds, so that the positioning accuracy of the ultrasonic positioning system can be further improved. The simulation results show that the positioning accuracy can be stabilized within 2cm at a certain speed, which is able to move and position the object to be positioned at a certain speed; finally, the experiments are conducted using the Arduino Uno as the core positioning system, and the experimental results verify the simulation results and show that the solution can The experimental results verify the simulation results and show that the solution is able to improve the positioning accuracy of moving objects, especially when the object to be positioned moves at a constant speed, the positioning accuracy tends to be stable, and the object to be positioned with a certain speed can be positioned well.