Module 5/6 Flashcards

1
Q

Pseudo Random Noise Code Difference

A

Typical Time Difference 3*105/3*108 = .001

L1 Carrier frequency 1.57542*109 (GHz)

~1.6 *106 cycles in offset waveform, adequate for PRN calculation.

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2
Q

Fundamental Idea of Differential GPS

A

Receiver

Unknown coordinates = xi,yi,zi

DGPS correction= xi+(xj-.‐error),

yi+(yj-.‐error), and

zi+(zj-.‐error)

WAAS Station DGPSBase

Known coordinates = xj+0, yj+0, zj+0

Correction=xj-.‐error, yj-.‐error, zj-.‐error

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3
Q

WAAS

A

Wide Area Augmentation System

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4
Q

How good is WAAS

A

With Selective Availability set to zero, and under ideal

conditions, a GPS receiver without WAAS can achieve

fifteen meter accuracy most of the time.*

Under ideal conditions a WAAS equipped GPS

receiver can achieve three meter accuracy 95% of the

time.*

Precision depends on good satellite geometry, open sky, and atmospheric distortion errors.

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5
Q

Ionosphere and Tropospheric Errors Can Be Corrected in Two Ways

A
  • The use of dual frequency reception
  • Differential corrections

* All other errors cannot be reconciled through these techniques

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6
Q

Dual frequency L1/L2 phase shift

A

(relative time delay) due to

Ionosphere results from differential bending of the UHF

Radiowave.

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7
Q

Cesium atomic clocks aboard the NAVSTAR satellite

A

produces the fundamental frequency, 10.23 Mhz. The

L1and L2 carrier frequencies are generated by multiplying the fundamental frequency. Each GPS satellite transmits data on two L-Band (low microwave) frequencies, L1 (1575.42 Mhz 154•10.23MHz) and L2 (1227.60 MHz 120•10.23MHz).

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8
Q

GDOP

A

GPS Error is measured By ‘Dilution of Precision’.

GDOP is the Geometric Dilution of Precision

1/V(tetrahedron)

Large Tetrahedron volume = higher precision

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9
Q

Ideal best satellite configuration

A

is an Isoceles tetrahedron

v=1/v(tetrahidrum)

V = a3/6√2 = √3 3/6√2

Largest Tetrahedron volume of 0.612

= highest ideal GDOP precision ~1.6

Actual best GDOP is ~1.73

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10
Q

GPS Accuracy:

A

Dilution of Precision DOP

Sources of User Equivalent Range Errors

Computing DOP, consider the unit vectors from the receiver to satellite i

x,y,z denote the position of the receiver and xi, yi, zi denote the position of satellite i. Formulate the matrix, A, as:

The first three elements of a row of A are the components of a unit vector from the receiver to the satellite.

The elements in the fourth column are c , the speed of light. Formulate the matrix, Q, as:

d’s represent geometric equivalents of

variance and covariance. DOP uses the variance diagonal.

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11
Q

DOP Values, and what they mean

A

1.7 Ideal This is the highest possible confidence level to be used for

applications demanding the highest possible precision at all times.

2-3 Excellent At this confidence level, positional measurements are

considered accurate enough to meet all but the most sensitive applications.

4-5 Good Represents a level that marks the minimum appropriate for

making business decisions. Positional measurements could be used to make

reliable in-route navigation suggestions to the user.

6-8 Moderate Positional measurements could be used for

calculations, but the fix quality could still be improved. A more open view of the sky

is recommended.

9-20+ Fair-POOR Represents a low confidence level. Positional

measurements should be discarded or used only to indicate a very rough estimate

of the current location. At this level, measurements can be as inaccurate as 50

m and should be discarded.

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12
Q

Causes of Precision Error

A
  • Satellite 1’s radio signal travels through less of the atmosphere, resulting in less distortion. Satellite 2 is low on the horizon, however, resulting in significant atmosphericdistortion.
  • Deviations in a satellite’sactual orbit path can also cause loss in precision
  • A receiver is confused by “multipath”, where several

reflected signals are received (red) along with the direct radio

signal (green).

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13
Q

Real Time Kinematic DGPS

A

Rover Receiver

DGPS Coordinates=xRover +ΔxBased, yRover+ ΔyBase

Base Receiver

True coordinates = xBase, yBase

Correction = ΔxBased, ΔyBase

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14
Q

Real Time Kinematic (RTK) & Network RTK

A

Real time error correction from one or more base stations (e.g. Continuously Operating Reference

stations - CORS)

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15
Q

Differentials Transmitted Real-Time,

Rover accuracy

A

1-3 cm

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16
Q

Post-processed differential GPS corrections

to a 15 minute – 48 hour data gather.

A

DGPS correction = xi+(xj-error),

yi+(yj-error) and zi+(zj-error)

3 or more CORS Stations

True coordinates = xj+0, yj+0 , zj+0

Correction = xj-error, yj-error, zj-error

17
Q

CORS

A
18
Q

How does OPUS compute your position?

A

OPUS – using CORS

3 single baselines computed

3 positions averaged —simple mean (equal weights)

19
Q

OPUS Guidelines

A
  • L1/L2 data
  • 2-48hrs GPS (OPUS-S)
  • 15min-4hrs GPS (OPUS-RS)
  • Static GPS observations only
  • 30-second epochs processed
  • Correct vertical requires:
  • antenna type/phase model
  • mark-to-ARP vertical height
20
Q

How are OPUS-S Positions Computed?

A
  • NGS PAGES processing software
  • Ionospheric/Troposphere-free solution (solar

interference & weather)

  • Fixed ambiguities
  • Average of 3 unique CORS ties
  • ITRF & NAD83 coordinates/errors
21
Q

Antenna Height

A
  • true vertical distance
  • measured in meters
22
Q

Is your Opus-S solution good?

A

check ephemeris type

  • > 90% observations used
  • > 50% ambiguities fixed
  • < 3 cm overall RMS

Check antenna info

• < 5 cm peak-topeak errors

and which CORS were used? …resubmit later for better CORS scenario & ephemeris

23
Q

HOW GOOD ARE OPUS ORTHOMETRIC HEIGHTS?

A

IT DEPENDS!

ORTHOMETRIC HEIGHT ~ 0.02 – 0.04 m

GEOID03 ~ 0.048 m (2 sigma – 95% confidence)

Error ~ 0.03 + 0.05

~ 0.08 m

24
Q

To enhance vertical accuracy use rapid orbits available in 24 hours

A

Ultrarapid Orbits ~ 0.02- 0. 04 m (12 hours)

Rapid Orbits ~ 0.01 – 0.02 m (24 hours)

Precise Orbits ~ 0.005 – 0.01 m (two weeks)

25
Q

OPUS Accuracy is

A

time dependent and NOT distance dependent

26
Q

OPUS-Rapid Static (OPUS-RS)

A
  • 15-minute to 2-hour sessions
  • ties to 3 – 9 CORS (< 250km)
  • P1/P2 code & L1/L2 phase observations
  • resolves all ambiguities
  • similar to Real-Time Network computations
27
Q

OPUS-RS Output

A

“Overall RMS” replaced by “Normalized RMS”

  • unitless quantity, “expected” = 1
  • aka standard deviation of unit weight
  • if > 1, noisy data somewhere
  • typically <1, meaning noise less than expected

Peak-to-Peak replaced by Est. Standard Deviations

  • approximately 95% confidence
  • derived from scatter of single baseline solutions
  • formal standard deviations (optimistic) available in Extended Output
28
Q

CORS PARTNERS

A

>98% VOLUNTEER (NON-NGS)