Paper Info
Title
A processing approach for a correlating time-of-flight range sensor based on a least squares method
Abstract
A novel processing approach for the output data of a correlating time-of-flight range sensor based on a least squares method is presented. Until now, the fast Fourier transform and a trigonometric approach have been widely used to derive the distance information from the output signal of the sensor. Compared to these methods, the presented approach does not suffer from a systematic phase-dependent error for ideal signals. Moreover, this method allows the detection of multipath propagation, i.e., it is possible to detect if light from different distances is received at the same time. Under certain circumstances, it is even possible to extract the distances of the different paths. Simulation results are presented, comparing the performance of this novel approach to the existing ones. Moreover, first measurement results prove the feasibility of this method and show a reduction of the phase-dependent error by 90% compared to the alternative approaches.
Year
DOI
Venue
2014
10.1109/SAS.2014.6798975
Sensors Applications Symposium
Keywords
Field
DocType
correlation theory,distance measurement,fast fourier transforms,least mean squares methods,measurement errors,radiowave propagation,fast fourier transform,least squares method,multipath propagation detection,phase dependent error reduction,systematic phase dependent error,time of flight range sensor correlation,trigonometric approach,computational effort,correlation triangle,multipath propagation,phase-dependent error,time-of-flight
Trigonometry,Multipath propagation,Least squares,Mathematical optimization,Computer science,Algorithm,Real-time computing,Fast Fourier transform,Time of flight,Phase correlation,Recursive least squares filter,Observational error
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Michael Hofbauer1125.72
Seiter, J.211.04
Milos Davidovic382.78
Horst Zimmermann42915.60