Title: 451617 Fundamentals of Positioning Technologies
1451-617 Fundamentals of Positioning
Technologies Lecture 7 Quality Issues in
Positioning Technologies
2At the end of this lecture students should be
able to
- Discuss what is meant by positioning data
quality. - Define the terms that describe the quality of
measurement data acquired by positioning
technologies. - Critically assess the performance of different
positioning technology. - Define and give examples of the different types
of errors in measurement data. - Evaluate and quantify the impact of errors in
measurements on derived quantities.
3What do you understand by the term measurement
data quality?
4Measurement Data Quality
- How good is the data
- Uncertainty
- Fitness for use
- What is the context for the measurement?
- How much accuracy is needed?
- What is an appropriate instrument to use for this
measurement? - How do I use this instrument correctly?
- What are my potential sources of error?
- How sure will I be of my results? How will I
know? - How can I show my level of certainty to others?
- Any other important things such as continuity etc
5What are some of the parameters you would use to
describe the quality of a measurement data set?
6Components of a Measurement
- An estimate of the size of the measured quantity
(Remember all measurements are estimates.) - The distance from my home to the market is 4.1
- The units for the measured quantity (Every
physical measurement has units.) - The distance from my home to the market is 4.1
km. - An estimate of the range of error, or uncertainty
- The distance from my home to the market is 4.1
(0.2) km. - A level of certainty or level of confidence
concerning the range of error (You must know the
confidence level associated with the error
estimate for it to have meaning.) - I am 95 confident that the distance from my
home to the market is 4.1 (0.2) km.
7Describing Position Data Quality
- Precision
- Accuracy
- Reliability
- .
8What is the difference between accuracy and
precision?
9Accuracy vs Position
- accuracy the nearness of the measurement to the
absolute truth. To have some idea of accuracy
you must have a good idea of the truth - precision the repeatability of a measurement.
Precision has no bearing on accuracy.
10What do each of these diagram show in terms of
accuracy and precision?
11What are the different types of errors that can
occur in a measurement?
12Types of Errors
13Gross Errors
- Mistakes or blunders. Often factors of 10, 100,
1000 out. Therefore, relatively easy to spot eg
look on a scatterplot. - Gross errors arise from inattention or
carelessness of the observer (eg students!) in
handling instrument, reading scales or booking
results. Therefore gross errors are usually
caused by people. - eg, when measuring the length of a line, booking
down wrong values or transposing digits. - Gross errors are detected by making repeat,
independent observations (eg use different
observer to take the same measurement). - Gross errors must be eliminated from a data set
prior to any statistical analysis.
14Gross Errors
15What are some of the sources of gross errors in
the GPS practical?
16Strategies to Minimise Gross Errors
- Develop a careful and conscientious attitude
towards the work - Get proper training on the use of measurement
instruments - Practice standard, recognized, and repeatable
work procedures - Develop and maintain positive and open-minded
attitudes - Develop a refined understanding of the problem
and relevant theory
17Systematic Errors
- Usually caused by defects in equipment. Equipment
may give constant offset to true measured value
throughout its lifetime, eg faulty graduation of
a scale, or may drift giving different erroneous
measurement with time eg gravity meters. - The actual systematic error may be small, but
given certain measurement conditions may
accumulate. - eg, Measure a straight line distance along the
ground with a tape shorter than the total length.
If the tape is in error e cm and the distance
measured comprises n tape lengths, the cumulative
systematic error is n.e cm.
18Systematic Errors
19Systematic Errors
- Systematic errors can be removed by calibrating
equipment against some known control eg EDMs are
calibrated over known baselines in a controlled
thermal and atmospheric environment. - Alternatively, if a functional relationship for
the systematic is known , a term can be added
into the mathematical model to reduce the effect
to an insignificant magnitude - Eg e I sec, h is the error in the horizontal
circle reading of a theodolite having a
collimation error I at an elevation h. If I has
been found by testing the theodolite an
appropriate correction could be applied, or
alternatively use the principle of reversal (ie
observe on both faces of the theodolite) - Systematic errors are not random and are not
independent. Therefore their presence severely
inhibits meaningful statistical analysis and
every effort must be made to remove them prior to
analysis.
20What are some of the sources of systematic errors
in the GPS practical?
21Random Errors
- Random errors are by definition. For a prolonged
series of measurements of the same object,
measurement errors tend to cluster about the mean
with a symmetric bell-shaped distribution
22Random Errors
- Small errors are more numerous than large errors
- Very large errors do not occur
- Errors are just as likely to be positive as
negative (ie compensation) - The true or ideal value of a quantity is the mean
of an infinite number of similar observations
23Random Errors
24Every measurement has uncertainty associated
with it, so how do the uncertainties in the
measurements affect the certainty of a calculated
result?
25Error Propagation
- We have measured two distances d1 and d2 in a
straight line. What is the total distance (D) and
its standard deviation? - d1 154.26m and has a SD of 0.01m, d2 175.34m
and has a SD of 0.05m
26Error Propagation
D d1 d2 154.26 175.34 329.60m D (d1
e2) (d2 e2) (154.26 .01) (175.34 .05
)
154.27 175.39
329.66 difference 0.06m
27Error Propagation
The coordinates of a point A are 311.617m E,
447.245m N. Calculate the coordinates of point B
where qAB 37o 11 20 and sAB 57.916m. What
are the coordinates of B. What effect would
there be of an error in the bearing of 1o and in
the distance of 0.5m.
28At the end of this lecture students should be
able to
- Discuss what is meant by positioning data
quality. - Define the terms that describe the quality of
measurement data acquired by positioning
technologies. - Critically assess the performance of different
positioning technology. - Define and give examples of the different types
of errors in measurement data. - Evaluate and quantify the impact of errors in
measurements on derived quantities.