The IF4030 fiber-optic inertial navigation system supports six standardized operating modes, covering typical mission scenarios across land, sea, air, and underwater domains; flexible adaptation is achieved through sensor fusion and algorithmic switching.
Relies entirely on internal gyroscopes and accelerometers for dead reckoning, without external data. Following power-on self-test and a 275-second static alignment, the system enters pure inertial navigation mode, achieving a heading accuracy of 0.1–0.2°/h and a position accuracy of 2.5–6 nmi/h (CEP). Suitable for contingency scenarios such as GNSS-denied environments, tunnels, or areas with strong electromagnetic interference.
Utilizes tight coupling with GNSS (GPS/BDS/GLONASS) observations. When satellite signals are available, horizontal positioning accuracy exceeds 1.5 m and vertical accuracy exceeds 3 m (single-point positioning), with a velocity accuracy of 0.02 m/s (RMS). It supports RTK differential positioning for centimeter-level accuracy and satellite-aided moving-base alignment (approx. 15 minutes). The system maintains continuous output during brief signal outages and automatically converges upon signal re-acquisition; suitable for applications such as UAVs and electro-optical (EO) pods.
Integrates velocity data (bottom-track or water-track) from a Doppler Velocity Log (DVL) to effectively suppress velocity drift inherent in pure inertial systems; designed for underwater robots (ROV/AUV) and marine platforms. Supports axis configuration and lever-arm compensation, automatically identifying BS/BI data for velocity matching.
Designed for ground vehicles and track inspection vehicles; integrates pulse signals from wheel odometers to maintain sub-meter/kilometer positioning accuracy in long tunnels or mining areas where satellite signals are unavailable. Supports online scale factor calibration and installation misalignment correction, with automatic storage of calibration parameters via route-based calibration. Inertial/Visual Fusion Mode
This mode receives visual odometry or SLAM pose data via Ethernet or serial port; visual data constrains inertial drift, while inertial data smooths out visual noise. It is suitable for UAVs or service robots operating in GNSS-denied indoor environments and requires factory-level joint calibration.
In this mode, once the inertial navigation system enters the navigation state, it continuously outputs a highly stable heading using purely inertial methods. The core principle involves using a gyro-compassing algorithm to sense the Earth's rotational angular velocity vector and determine True North. It is suitable for surface vessels and operations in polar or high-latitude regions.
The system allows users to select the primary fusion scenario (land, marine, or aerial) and configure output priorities via parameter settings. It automatically degrades performance if an auxiliary sensor fails, ensuring continuous and reliable navigation. Real-time mode switching and status monitoring are supported to accommodate diverse mission planning requirements.
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