DocumentCode :
3566341
Title :
Improved TOF determination algorithms for robust ultrasonic positioning of smart tools
Author :
Krenik, Matthew ; Xiong Li ; Akin, Bilal
Author_Institution :
Sch. of Eng. & Comput. Sci., Univ. of Texas at Dallas, Richardson, TX, USA
fYear :
2014
Firstpage :
2351
Lastpage :
2356
Abstract :
This paper investigates the design criteria for an ultrasound positioning system used in smart tool applications. A novel range-finding system based upon low cost, ease of implementation, and an automatic gain controller (AGC) is developed. We also design several signal processing algorithms for this system, including an amplitude threshold method (ATM), a frequency threshold method (FTM), and a cross correlation method (CCM). These methods are compared in one dimension based upon precision and processing time. Our results show promising results for a high-accuracy, low-cost, and flexible solution for smart tool applications. For smart tool applications which require 1mm precision and target speeds of 0.25m/s, we recommend the CCM, which strikes a balance between processing time and accuracy. We discuss methods for improving these algorithms.
Keywords :
acoustic signal processing; automatic gain control; correlation theory; distance measurement; intelligent sensors; machine tools; ultrasonic devices; CCM; amplitude threshold method; automatic gain controller; cross correlation method; frequency threshold method; improved TOF determination algorithms; range finding system; robust ultrasonic positioning system; signal processing algorithms; smart tools; Accuracy; Correlation; Hardware; Receivers; Signal processing algorithms; Transmitters; Ultrasonic imaging; Smart tools; positioning systems; signal processing; ultrasound range finding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE
Type :
conf
DOI :
10.1109/IECON.2014.7048831
Filename :
7048831
Link To Document :
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