GNSS Positioning

Position estimation using GNSS data

Compute positions from GNSS data by using the gnssconstellation and receiverposition functions.

Use the GNSS file reader functions, such as rinexread and semread to read satellite navigation and observation data from RINEX, SEM, YUMA, and Galileo almanac files.

Functions

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GNSS

`gnssconstellation`	Satellite locations at specified time (Since R2021a)
`receiverposition`	Estimate GNSS receiver position and velocity (Since R2021a)
`lookangles`	Satellite look angles from receiver and satellite positions (Since R2021a)
`pseudoranges`	Pseudoranges between GNSS receiver and satellites (Since R2021a)
`skyplot`	Plot satellite azimuth and elevation data (Since R2021a)
`extractNMEASentence`	Verify and extract NMEA sentence data into string array (Since R2021b)

GNSS File Readers

`rinexread`	Read data from RINEX file (Since R2022a)
`rinexinfo`	Get information about RINEX file (Since R2022a)
`semread`	Read data from SEM almanac file (Since R2022b)
`yumaread`	Read data from YUMA almanac file (Since R2023a)
`galalmanacread`	Read data from Galileo XML almanac file (Since R2023b)

Objects

`gnssSensor`	Simulate GNSS to generate position and velocity readings (Since R2020b)
`gnssMeasurementGenerator`	Simulate GNSS measurements for scenarios (Since R2023a)
`gpsSensor`	GPS receiver simulation model
`gpsdev`	Connect to a GPS receiver connected to host computer (Since R2020b)
`nmeaParser`	Parse data from standard and manufacturer-specific NMEA sentences sent from marine electronic devices (Since R2020b)

Blocks

GPS	Simulate GPS sensor readings with noise (Since R2021b)

Topics

GNSS Simulation Overview
Global Navigation Satellite System (GNSS) simulation generates receiver position estimates.
Analyze GNSS Satellite Visibility
This example shows how to simulate and analyze GNSS satellite visibility at specified receiver positions and times using a GNSS/GPS ephemeris or almanac file.
Simulate GPS Sensor Noise
This example shows how to use the GPS block to add GPS sensor noise to position and velocity inputs in Simulink®.
Estimate GNSS Receiver Position with Simulated Satellite Constellations
Track the position of a ground vehicle using a simulated Global Navigation Satellite System (GNSS) receiver.
Plot Position of GNSS Receiver Using Live NMEA Data or NMEA Log File
This example shows how to parse information from NMEA sentences and use the obtained information to plot the location.

Featured Examples

Detect Multipath GPS Reading Errors Using Residual Filtering in Inertial Sensor Fusion

Use the residualgps object function and residual filtering to detect when new sensor measurements may not be consistent with the current filter state.

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Simulate GNSS Multipath Effects in Urban Canyon Environment

Simulate GNSS multipath for a car with a GPS receiver driving in an urban canyon-like environment and visualize satellite visibility.

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Simulate GNSS Multipath Effects on UAV Flying in Urban Environment

Simulate Global Navigation Satellite System (GNSS) receiver noises due to obstructions in a UAV Scenario.

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Ground Vehicle Pose Estimation for Tightly Coupled IMU and GNSS

Estimate the position and orientation of a ground vehicle by building a tightly coupled extended Kalman filter and using it to fuse sensor measurements. A tightly coupled filter fuses inertial measurement unit (IMU) readings with raw global navigation satellite system (GNSS) readings. In contrast, a loosely coupled filter fuses IMU readings with filtered GNSS receiver readings.

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End-to-End GPS Legacy Navigation Receiver Using C/A-Code

Estimate the global positioning system (GPS) receiver position using a multi-satellite GPS baseband waveform. You use the receiver independent exchange format (RINEX) and an almanac file to model the GPS constellation and generate a multi-satellite baseband waveform. Simulate the satellite scenario to get relative positions of satellites with respect to the modeled receiver. For this satellite scenario, model the Doppler shift, delay, and received signal power. Based on these calculations, impair the generated baseband signal with Doppler shift, delay, and noise. This example shows how to estimate the simulated receiver position from this impaired GPS baseband signal.

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