Welcome to the NavList Message Boards.

NavList:

A Community Devoted to the Preservation and Practice of Celestial Navigation and Other Methods of Traditional Wayfinding

Compose Your Message

Message:αβγ
Message:abc
Add Images & Files
    or...
       
    Reply
    Position errors for 2- and 3-body observations
    From: Geoffrey Butt
    Date: 2017 May 16, 12:44 -0700

    Back in March this year the discussion of Bill Lionheart’s video (Topic:  Symmedian talk) ended with some speculative comments about minimizing the error in the observed position.  Bill’s final words “Interesting question is if experienced navigators have found the optimum by experience” set me thinking about what could be calculated. 

    Rather than relying on hazy 60 year old memories of seminars such as Bill’s I have written a program to calculate the distribution of position errors for various observing practices using Monte Carlo simulations.  The results are ‘dimensionless’ in being relative to the magnitude of the input observer errors;  which were normally distributed.

    I have been unable to find any data on the internet for typical observer errors for celestial measurements.  The article ‘Analysis of Random Errors in Horizontal Sextant Angles’ from the Naval Postgraduate School, Monterey (http://archive.org/stream/analysisofrandom00mill/analysisofrandom00mill_djvu.txt) quotes standard deviations from 2.7’ for observations from ‘unstable platforms’ to 0.6’ from stable ones.

    Gary LaPook’s note (1 March) about Flight Navigator celestial qualifications provides an interesting comparison for these results.

    Do any NavList readers have information on vertical sextant observer errors or have made an assessment of their own observational error distribution?

    The following results come from runs of 100,000 repetitions of random (normally distributed) observation errors with randomised relative bearing differences.

    3-body fixes

    How often is the true position inside the cocked hat?
    I was careless in asserting that with three position lines randomly placed on either side of the true position the probability would be one in eight – if you look at the options it is obviously two in eight.  The simulations confirmed this 25% probability.

    Which triangle ‘centre’ to use?
    I compared the distance of the true position from the centroid (centre of gravity) with the distance from the symmedian point.  It was interesting to see, in the light of the discussion earlier, that using the symmedian point resulted in a 13% reduction in the mean position error compared with using the centroid. 
    But how would a practical navigator identify the symmedian point?  In equilateral triangles they are coincident.  It was interesting to observe the position of the symmedian point in markedly eccentric triangles:  if there was one longest side it moved towards the opposite (largest) angle, if there was one shortest side it moved towards the centre of that side (demonstrating its ‘least squares’ character?).  This is illustrated in Bill’s lecture notes (Frank Reed’s post of 25 Feb).
    The lesson, I suppose, is always to choose well spaced bodies and thus avoid eccentric cocked hats – and use the centroid.

    3-body fixes
    Distance of true position from triangle centre.

    Using centroid
    Mean position error = 1.27 x observer’s std dev (osd)
    Standard deviation of position error = 0.76 x osd
    90% lay within 2.27 x osd
    95% lay within 2.69 x osd
    99% lay within 3.79 x osd

    Using symmedian point
    Mean position error = 1.14 x osd
    Std dev of error = 0.66 x osd
    90% lay within 2.00 x osd
    95% lay within 2.34 x osd
    99% lay within 3.21 x osd


    2-body fixes

    Single observation of each body
    Mean position error = 1.80 x osd
    Std dev of position error = 1.41 x osd
    90% lay within 3.42 x osd
    95% lay within 4.50 x osd
    99% lay within 7.31 x osd


    Using the average of 5 observations of each body
    Mean position error = 0.80 x osd
    Std dev of position error = 0.63 x osd
    90% lay within 1.51 x osd
    95% lay within 2.0 x osd
    99% lay within 3.23 x osd


    So, using the Monterey “unstable platform” observer’s std devn of 2.7’ a 2-body fix using a single observation for each should have a (2.7 x 7.31) 20 NM radius circle drawn around it to define a 99% probability of position (12 NM for 95%, 9 NM for 90%).

    Taking the average of, say, 5 observations of each body reduces the input observer’s error by a factor of 2.24 (square root of 5) and results in a circle of (2.7 x 3.23) 9 NM radius for 99% probability (5 NM for 95%, 4 NM for 90%).

    These compare with a 3-body fix using a single observation of each body:  a (2.7 x 3.79) 10 NM  radius circle for 99% probability (7 NM for 95%, 6 NM for 90%).

    If 5 observations of each body were made and averaged for a 3-body fix the circles come down to (2.7 x 1.67) 4.5 NM radius for 99% probability (3.3 NM for 95%, 2.8 NM for 90%).

    Comparing these results with Gary LaPook’s note on Flight Navigator testing:  if we interpret “all within 7 minutes of arc” as a probability of 99% then the implied std devn for readings is 7 / 2.58 (double sided 99% probability) = 2.7’ – exactly the same as the Monterey “unstable platform” figure – and “all” (say 99%) of fixes would plot within 10 NM as above.

    One final observation from the runs:  you frequently come across ‘how to do CelNav’ articles which state something along the lines of “if you have a small cocked hat you can be confident in your fix”.  The simulations show this definitely not to be true.  Position errors for the smallest 5% of triangles were very little (less than 10%) different from the average of all sizes of triangle.  However the largest 5% had higher (up to twice) average position errors.

    Geoff Butt

       
    Reply
    Browse Files

    Drop Files

    NavList

    What is NavList?

    Join NavList

    Name:
    (please, no nicknames or handles)
    Email:
    Do you want to receive all group messages by email?
    Yes No

    You can also join by posting. Your first on-topic post automatically makes you a member.

    Posting Code

    Enter the email address associated with your NavList messages. Your posting code will be emailed to you immediately.
    Email:

    Email Settings

    Posting Code:

    Custom Index

    Subject:
    Author:
    Start date: (yyyymm dd)
    End date: (yyyymm dd)

    Visit this site
    Visit this site
    Visit this site
    Visit this site
    Visit this site
    Visit this site