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Dilution of Precision (DOP)

Also known as: Dilution of Precision, GDOP, HDOP, VDOP, PDOP

Quick answer

Dilution of precision (DOP) measures how satellite geometry amplifies GNSS errors: satellites spread across the sky give low DOP and crisp fixes; satellites clustered together multiply every ranging error into position error. Below 2 is excellent; above 6, treat fixes warily.

📘 Full definition✓ Reviewed 2026-09-07
Dilution of precision is the geometry factor of satellite navigation: a dimensionless multiplier expressing how the spatial arrangement of the satellites used in a fix scales ranging errors into position and time errors. Each pseudorange constrains the receiver to a sphere; where spheres intersect at generous angles, errors stay contained — where satellites bunch in one patch of sky, the intersection smears along the weak directions. The family of DOP terms slices the effect: GDOP (geometric, everything), PDOP (3-D position), HDOP (horizontal), VDOP (vertical) and TDOP (time), related by simple sums of squares. Rules of thumb hold across receivers: DOP under 2 is excellent, 2–5 good, above 6 degraded. Vertical DOP runs persistently worse than horizontal — all usable satellites sit above the horizon, leaving altitude weakly braced from below — which is why GNSS altitude wobbles more than the map position. Multi-constellation receivers transformed everyday DOP: with GPS, Galileo, GLONASS and BeiDou together, open-sky geometry is nearly always strong, pushing the problem to canyons — urban or literal — where sky visibility, not satellite count, sets the limit. Mission planners for surveying, drones and precision operations still consult predicted DOP windows, and tools like this site's Groundlink compute them for any site and time.
Good PDOP
<2
Moderate PDOP
2–5
Poor PDOP
>6
Formula
Position error ≈ range error × DOP

Understanding DOP

The mathematics in one breath

DOP falls out of the least-squares solution: from the unit vectors receiver→satellite, form the design matrix, invert its normal matrix, and the diagonal's square roots are the DOP components. The recipe makes DOP purely predictive — computable from almanac data for any place and time without any measurements — which is why planning tools have published DOP forecasts since GPS's earliest surveying days.

DOP in the wild

Canyon streets funnel visible satellites into a strip overhead: cross-street position stays decent, along-street smears — DOP anisotropy you can watch in a phone's wandering dot. Polar users see constellations designed for mid-latitudes cluster toward the horizon, inflating VDOP. And safety-critical aviation approaches specify DOP-linked integrity limits, with receivers autonomously excluding satellites whose geometry contribution masks fault detection.

See it live Compute live GDOP/PDOP/HDOP for any location and constellation with Groundlink. Open Groundlink →
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Frequently Asked Questions

Geometry from one side only. Satellites surround you in azimuth but only above the horizon in elevation — nothing constrains altitude from below. VDOP therefore typically runs 1.5–2× HDOP, and GNSS elevation carries correspondingly larger error bars than horizontal position.
Multiplicatively: position error ≈ DOP × user-equivalent range error. Two metres of range error at PDOP 1.5 is ~3 m of position error; the same ranges at PDOP 8 give ~16 m. DOP is why identical receivers perform differently under different skies.
Generally yes with diminishing returns — extra satellites can only improve or match the geometry, which is multi-constellation's quiet gift. The exception is masking: if obstructions confine all visible satellites to one sky sector, dozens of them still make weak geometry.

Sources & References

Definitions are reviewed against primary sources. Last reviewed: 2026-09-07.