![VN-300, a miniature, high-performance Dual Antenna GNSS-Aided Inertial Navigation System](https://sens2b-sensors.com/media/zoo/images/etlg-y18m01d11_250_55f6e2b4f698622aa5e40ef18300efd8.jpg)
VN-300, a miniature, high-performance Dual Antenna GNSS-Aided Inertial Navigation System
ETLG Inertial Aerosystems announces the VN-300, a miniature, high-performance Dual Antenna GNSS-Aided Inertial Navigation System that combines MEMS inertial sensors, two high-sensitivity GNSS receivers, and advanced Kalman filtering algorithms to provide optimal estimates of position, velocity, and orientation. By utilizing two separate GNSS receivers and antennas, the VN-300 enables accurate heading measurements without reliance on vehicle dynamics or magnetic sensors, providing unmatched performance under both static and dynamic conditions.
Key Benefits:
- 0.3° GPS-Compass Heading
- 0.3° Dynamic Heading
- 0.1° Dynamic Pitch/Roll
- 5°/hr Gyro In-Run Bias (typ.)
- 800 Hz IMU, 400 Hz Navigation Data
- ±16 g Accelerometer Range
- ±2000˚/sec Gyroscope Range
- Thermal Calibration
- SMD and Rugged Packages
Dual GNSS-Compassing Algorithm
The VN-300 provides the ability to accurately estimate true heading (azimuth with respect to True North) in both static as well as dynamic conditions without any reliance on magnetic sensors. This is accomplished by utilizing GPS interferometry techniques, which measure the heading of the vehicle or platform without any assumptions regarding the vehicle dynamics (RTK moving baseline technique). This is a crucial feature for applications that require an accurate heading at startup, or in situations where insufficient motion is present to perform dynamic alignment.
Key features of the GNSS-Compass algorithms include:
- Magnetic independent
- Automatic transition between AHRS, INS and GNSS-Compass
- Adjustable GNSS antenna baseline lengths for shorter start-up times or increased heading accuracy
- Heading accuracy between 0.15° and 1.2° (RMS)
- Start-up in under 2 minutes
- Raw pseudorange, Doppler & carrier phase outputs