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451617 Fundamentals of Positioning Technologies

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Title: 451617 Fundamentals of Positioning Technologies


1
451-617 Fundamentals of Positioning
Technologies Lecture 7 Quality Issues in
Positioning Technologies
2
At 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.

3
What do you understand by the term measurement
data quality?
4
Measurement 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

5
What are some of the parameters you would use to
describe the quality of a measurement data set?
6
Components 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.

7
Describing Position Data Quality
  • Precision
  • Accuracy
  • Reliability
  • .

8
What is the difference between accuracy and
precision?
9
Accuracy 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.

10
What do each of these diagram show in terms of
accuracy and precision?
11
What are the different types of errors that can
occur in a measurement?
12
Types of Errors
  • Gross
  • Systematic
  • Random

13
Gross 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.

14
Gross Errors
15
What are some of the sources of gross errors in
the GPS practical?
16
Strategies 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

17
Systematic 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.

18
Systematic Errors
19
Systematic 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.

20
What are some of the sources of systematic errors
in the GPS practical?
21
Random 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

22
Random 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

23
Random Errors
24
Every measurement has uncertainty associated
with it, so how do the uncertainties in the
measurements affect the certainty of a calculated
result?
25
Error 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

26
Error 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
27
Error 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.
28
At 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.
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