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What is Accuracy in GNSS?

Published in GNSS Performance Metric 5 mins read

In the context of Global Navigation Satellite Systems (GNSS), accuracy refers to how close a position solution delivered by a GNSS receiver is to the true, actual position. Essentially, it is a measure of the bias or systematic error present in the calculated location, indicating how close the reported position aligns with reality. A highly accurate GNSS system provides a position fix that is very near the user's actual physical coordinates.

Understanding GNSS Accuracy

GNSS accuracy is a critical performance metric, reflecting the reliability of the position data obtained from satellites like GPS, GLONASS, Galileo, and BeiDou. When we talk about accuracy in GNSS, we are specifically addressing the difference between the computed position and the ground truth. This difference is largely due to systematic errors that consistently pull the reported position away from the actual location.

Accuracy vs. Precision

It's crucial to distinguish between accuracy and precision, as they are often confused. While related, they describe different aspects of measurement quality.

Feature Accuracy Precision
Definition How close a measurement is to the true value. Measures systematic error. How close repeated measurements are to each other. Measures random error.
Goal Getting the "right" answer. Getting consistent answers.
Example A receiver consistently shows your position 1 meter from your true spot. A receiver shows your position varying by only a few centimeters each time.

A GNSS receiver can be precise but inaccurate (consistently wrong, but consistently wrong in the same direction), or accurate but imprecise (averages to the true position over many measurements, but individual measurements vary widely). The ideal scenario is a system that is both accurate and precise.

Factors Influencing GNSS Accuracy

Several elements can impact the accuracy of a GNSS position fix:

  • Satellite Geometry (DOP - Dilution of Precision): The spatial distribution of visible satellites affects the strength of the position solution. A poor geometry (e.g., satellites clustered together) leads to higher DOP values and reduced accuracy.
  • Atmospheric Effects:
    • Ionosphere: The layer of charged particles in the upper atmosphere delays and bends GNSS signals, causing significant errors.
    • Troposphere: The lower atmosphere also causes signal delays due to water vapor and temperature changes.
  • Receiver Quality and Antenna: The quality of the GNSS receiver hardware and its antenna plays a vital role. High-quality receivers are better at tracking signals and mitigating errors.
  • Signal Multipath: Signals reflecting off surfaces (buildings, trees, ground) before reaching the antenna can create false signal paths, leading to errors. This is particularly problematic in urban canyons or near reflective surfaces.
  • Satellite Clock and Orbit Errors: Minor inaccuracies in the broadcast satellite clock and orbital data (ephemeris) can introduce errors in position calculations.
  • Augmentation Systems: The absence or presence of augmentation systems (like SBAS, RTK, PPP) significantly influences achievable accuracy levels.

Types of GNSS Accuracy

Accuracy can be quantified in various ways depending on the application:

  1. Horizontal Accuracy (2D): Refers to the accuracy of the position in the horizontal plane (latitude and longitude). Often expressed as Circular Error Probable (CEP) or 2DRMS (2 times the distance root mean square error).
  2. Vertical Accuracy (Height): Relates to the accuracy of the altitude measurement. This is typically less accurate than horizontal accuracy due to satellite geometry.
  3. 3D Accuracy: Combines horizontal and vertical accuracy, often expressed as Spherical Error Probable (SEP) or 3DRMS.
  4. Absolute vs. Relative Accuracy:
    • Absolute Accuracy: How close a single, independently determined position is to its true geographic coordinates.
    • Relative Accuracy: How close one position is to another known position, or how precisely the distance and bearing between two points are known, even if their absolute positions are slightly off.

Enhancing GNSS Accuracy

Achieving higher accuracy often involves specialized techniques and equipment:

  • Differential GNSS (DGNSS): Utilizes a static base station at a known location to calculate and broadcast corrections for errors affecting GNSS signals. Receivers in the vicinity can then apply these corrections to improve accuracy. Learn more about DGNSS
  • Real-Time Kinematic (RTK): A high-precision DGNSS technique that uses carrier phase measurements instead of just code measurements to achieve centimeter-level accuracy in real-time. Explore RTK technology
  • Precise Point Positioning (PPP): A technique that can achieve centimeter-level accuracy without a local base station by using highly accurate satellite orbit and clock products, often requiring dual-frequency receivers and post-processing or a robust real-time correction service. Understand PPP in detail
  • Using Multi-Frequency Receivers: Receivers capable of tracking signals on multiple frequencies (e.g., L1 and L2 for GPS) can effectively mitigate ionospheric errors.
  • Site Selection: Choosing open areas with clear sky views and away from reflective surfaces helps minimize multipath effects.
  • Post-Processing: Collecting raw GNSS data and processing it later with correction data (e.g., from Continuously Operating Reference Stations - CORS) can yield very high accuracy, often used in surveying.

Practical Implications of Accuracy

The required level of GNSS accuracy varies greatly depending on the application:

  • Surveying and Mapping: Demands very high accuracy (centimeter to millimeter) for land demarcation, construction, and precise mapping.
  • Autonomous Vehicles: Requires high accuracy (decimeter to centimeter) for lane-keeping, obstacle avoidance, and precise navigation.
  • Precision Agriculture: Uses decimeter-level accuracy for optimizing planting, fertilizing, and harvesting operations, minimizing waste.
  • Location-Based Services (LBS): Consumer applications like smartphone navigation typically require meter-level accuracy, which is sufficient for general guidance.
  • Disaster Response: Accurate location data is crucial for coordinating rescue efforts and assessing damage.

Understanding GNSS accuracy is fundamental for anyone relying on satellite positioning, as it directly impacts the reliability and utility of location information across countless industries and everyday activities.