Principles, Accuracy, and Calibration of Radio Positioning

Principles, Accuracy, and Calibration of Radio Positioning

1. Overview of Positioning

  • Positioning classification

    • Based on Lines of Position (LOP) systems:

    • Circular systems (based on distances)

    • Polar systems

    • Hyperbolic systems

    • Parameters for geometric quality

    • Statistics and Accuracy

    • Modeling:

    • Circular systems

    • Polar systems

    • Hyperbolic systems

    • Calibration for:

    • Circular systems

    • Hyperbolic systems

2. Terrestrial Radio Positioning Systems

  • Circular Method (Active):

    • Also known as the ‘range/range’ method

    • Involves sender and receiver on a vessel

    • Coastal stations receive signals and respond, usually by pulse or phase.

    • Systems used:

    • Synchronised clock on vessel (e.g., atomic clock or GNSS time)

    • Determines distances to 2 or 3 coastal stations.

    • Results in circular LOPs.

  • Circular Method (Passive):

    • ‘Pseudorange’ Method:

    • Represents false circular method, operates as a hyperbolic system.

    • Coastal stations send signals, synchronised (e.g., with atomic clocks).

    • Options include pulse or continuous wave.

    • Reception through:

      • Time difference or Phase difference.

      • Determines distance differences => results in hyperbolic LOPs needing 3 coastal stations to obtain intersection of 2 hyperboles.

  • Polar Method (Active):

    • Uses both distance and bearing.

    • Coastal station determines vessel direction using radio-goniometer.

    • Interaction involves pulse sent from coastal station to the vessel and back.

    • High accuracy achieved due to orthogonal intersections of LOPs, utilizes telemetry for position transmission.

  • Hyperbolic Method:

    • Involves a master and slave(s) system, which are synchronised.

    • Continuous waves are sent; phase differences correspond to distance differences, leading to hyperbolic LOPs.

3. Geometric Quality of Positioning

  • Random Errors:

    • Precision is measured by individual and accidental deviations relative to the average value.

    • Caused by observation or equipment imperfections.

    • Inevitable errors that cannot be corrected even by calibration.

    • Characteristic clustering of measured values around average position, where good precision indicates small random errors.

  • Statistics:

    • Boxplot Representation:

    • Displays first, second, and third quartiles.

    • Defines outlier as distance to box > 1.5 * box height.

    • If no outliers, whiskers connect to smallest and largest values.

  • Standard Deviation (SD):

    • More commonly used than CEP for scientific purposes.

    • Sensitive to small numbers of large errors.

    • SD is calculated by SD = \sqrt{\frac{\sum (x_i - \bar{x})^2}{N-1}}

    • For a normal Gaussian distribution, 68% of values lie within 1 standard deviation from the mean, and 95% lie within 2 standard deviations.

  • Circular Error Probable (CEP):

    • Defined as the radius of a circle, containing 50% of all measurements around the best guess for the “correct position.”

4. Systematic Errors (Bias)

  • Systematic Error:

    • Defined as the deviation of the average of measurements from the 'true' position, which is often unknown.

    • Accuracy inversely relates to the size of the systematic error.

    • The most probable value can be approximated by assuming minimal systematic errors.

  • Sources of Systematic Errors:

    • Non-properly calibrated sensors; should be calibrated using more accurate values or compensated computationally.

    • Assumptions or simplifications in mathematical models can introduce errors; utilize precise models for accuracy.

5. Reliability and Measurement Precision

  • Repeatability:

    • Refers to positional variation with repeated measurements using the same instrument over time at the same location.

    • Low test-retest reliability causes variability in results.

    • Difference between repeatability (variation at the same place and time) and reproducibility (variation at the same location but different instances).

  • Blunders and Reliability:

    • A blunder is defined as a careless mistake that can be easily traced.

    • Reliability pertains to the ability to identify blunders, with improved reliability from more data availability.

6. Calibration**

  • Essential for checking:

    • Installation quality of the positioning chain.

    • Coordinate precision of reference beacons.

    • Stability of transmission parameters and good radio paths.

  • Calibration Practices:

    • Involves comparing measurements with known references (baseline crossing techniques) to verify accuracy.

    • Different methods for circular and hyperbolic systems involve adjustments for delays and biases to achieve accuracy.

7. Final Considerations

  • Distance Measurement Corrections:

    • Assumptions regarding the difference in shortest pathways while incorporating radio path lengths and height variations.

    • Address variations in speed of propagation due to atmospheric conditions and adjustments based on height differences.