Open AccessResearch on Ultrasonic Localization Method of Moving Objects Based on Improved TOA Algorithm
Author(s) -
Xinghong Zhang,
Ran Chen,
Yi Xu,
Bingman Sun,
Fanfeng Zeng
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2010/1/012145
Subject(s) - ranging , ultrasonic sensor , transmitter , computer science , position (finance) , algorithm , compensation (psychology) , positioning system , process (computing) , time of arrival , signal (programming language) , transmission (telecommunications) , computer vision , object (grammar) , artificial intelligence , real time computing , acoustics , telecommunications , physics , wireless , programming language , operating system , psychology , channel (broadcasting) , finance , psychoanalysis , node (physics) , economics
In the process of ultrasonic positioning of moving objects, a position algorithm TOA is optimized and improved due to the problem of delay caused by sequential ranging of the sequential ranging of the ultrasonic transmitter and receiver, the system’s solving time, and the signal transmission time. By setting an error compensation factor for the velocity of the object to be located and the unit positioning time of the system, the error is compensated to achieve the same positioning accuracy when the object to be located is stationary. The simulation results show that the positioning accuracy can be stabilized within 3 cm at a certain speed, and the positioning can be performed well for objects to be positioned with a certain speed.