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Criteria for Automated Estimation of Time of Flight in TDR Analysis
- Publication Year :
- 2015
-
Abstract
- In this paper, a performance analysis, in terms of accuracy, linearity, and repeatability, of three criteria to estimate the time of flight in time-domain reflectometry (TDR) signals is carried out. In a first set of experiments, the three criteria [referred to as maximum derivative (MD), zero derivative, and tangent crossing (TC)] are applied to TDR signals propagating along a set of coaxial cables, with different known lengths and known electrical parameters. In a second set of experiments, the same criteria are applied to biwire cables in air, with different known lengths and unknown electrical parameters. Finally, in the last set of experiments, the criteria are applied in a more complex situation, i.e., on a biwire used as a sensing element for water-level measurement. The results show that, among the tested criteria, TC appears to provide a very good performance in terms of systematic errors and superior performance in terms of repeatability. The popular MD criterion appears to be more prone to random errors due to noise and TDR artifacts. The results of this paper are relevant to many practical applications of TDR, ranging from fault location in cables to media interface sensing.
- Subjects :
- level measurement
Engineering
time-domain reflectometry (TDR)
time measurement
02 engineering and technology
Fault (power engineering)
01 natural sciences
Length measurement
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
fault location
Electrical and Electronic Engineering
Reflectometry
Instrumentation
business.industry
020208 electrical & electronic engineering
010401 analytical chemistry
Calibration, digital filters, estimation error, fault location, length measurement, level measurements, nonlinearities, time measurement, time-domain reflectometry (TDR)
Linearity
Tangent
nonlinearitie
Ranging
Repeatability
length measurement
Calibration
digital filters
estimation error
level measurements
nonlinearities
0104 chemical sciences
Noise
digital filter
business
Algorithm
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....7a895bb6ce54a53668c6fbe29df5657a