Paper Info
Title
A measurement method based on Kalman filtering for ultrasonic time-of-flight estimation
Abstract
A new digital signal-processing method for ultrasonic time-of-flight (TOF) estimation is presented. The method applies the discrete extended Kalman filter (DEKF) to the acquired ultrasonic signal in order to accurately estimate the shape factors of the echo envelope as well as locate its onset. It is also possible to assure reduced bias and uncertainty in critical TOF measurements, such as those involving low signal-to-noise ratio (SNR) as well as severe distortion of echo shape. A number of numerical tests are conducted on simulated signals with the aim of highlighting the good performance of the method when operating in critical conditions. Results attained in TOF-based distance measurements finally assess the reliability and efficacy of the method in the presence of actual ultrasonic signals.
Year
DOI
Venue
2006
10.1109/TIM.2006.870123
Instrumentation and Measurement, IEEE Transactions
Keywords
DocType
Volume
distance measurement,uncertainty reduction,Kalman filter,ultrasonic measurement,Kalman filters,signal processing,time-of-flight (TOF) estimation,kalman filters,kalman filtering,discrete extended Kalman filter,Distance measurement,signal to noise ratio,ultrasonic signal,ultrasonic based measurements,edkf,level measurement,echo envelope,acoustic signal processing,digital signal-processing method,bias reduction,measurement method,echo,echo shape distortion,ultrasonic time-of-flight estimation,discrete extended kalman filter,extended Kalman filter,time-of-arrival estimation,critical tof measurements,shape factor estimation,distance measurements,digital signal processing,ultrasonic-based measurement
Journal
55
Issue
ISSN
ISBN
2
0018-9456
0-7803-8248-X
Citations 
PageRank 
References 
16
1.89
2
Authors
3
Name
Order
Citations
PageRank
Leopoldo Angrisani138957.11
Aldo Baccigalupi27812.80
Rosario Schiano Lo Moriello310716.45