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If3500 High Precision Fiber Optic Inertial Navigation System Dual Gnss+Ins Rtk Module
US$38,799.00-42,679.00
1 Piece
Product profile
Customization
AvailableType
SensorOutput Signal Type
Digital OutputModel NO.
IF3500Measuring Shaft Quantities
ThreeAccuracy Grade
0.1GIP Rating
IP67Certification
CECustomized
CustomizedTransport Package
Box and SpongeSpecification
189*169*133mmTrademark
micro magicOrigin
ChinaHS Code
9031809090Production Capacity
1000/MonthKey features
The system performs a complete state estimation by fusing GNSS, IMU, and auxiliary sensors, outputting real-time position (lat/lon/alt), velocity (vx/vy/vz), and 3-axis attitude (roll/pitch/yaw).
Adopts a dual-mode fusion architecture (tight coupling for high-precision positioning, loose coupling for robustness) to dynamically adjust weight allocation between GNSS and INS data, minimizing erro
In GNSS-denied environments, the system leverages error modeling to limit position error growth to <0.1 m/h (CEP), with velocity error <0.01 m/s and attitude error <0.05/h over 1 hour.
Critical for precision agriculture (drone crop spraying), construction machinery (excavator automation), and robotics (humanoid gait control).
Filters low-frequency noise (0.01-1 Hz) in velocity output, ensuring smooth speed profiles for closed-loop control systems (e.g., autonomous steering).
Optimizes error propagation via Kalman filtering, with position error growth rate <0.05 m/h (CEP) and systematic error correction for installation misalignment.
Delivers 400-1000 Hz raw IMU and 100-200 Hz fused navigation data, matching real-time control loop requirements for dynamic systems.
Combines multi-constellation GNSS (GPS/BDS/GLONASS), MEMS IMU, barometric pressure, and 3-axis magnetometer for redundancy and enhanced robustness.
Maintains 0.5 m/h position accuracy and 0.1 heading stability for 30 minutes in urban canyons, tunnels, and water-surface scenarios.
Supports lever arm compensation, installation deviation correction, and factory-calibrated IMU/barometer offsets, ensuring <0.5 cm position error post-installation.
Company profile
Business Type: Trading CompanyAverage Response Time: ≤2.13h
About Our Factory & Business Background
AddressRoom 215, 2nd Floor, Building 7, No. 1180, Bin'an Road, Changhe Sub-district, Binjiang District, Hangzhou City, Zhejiang Province
Average Lead TimePeak Season Lead Time: within 15 workdays Off Season Lead Time: within 15 workdays
Our Production Capability & Technical Expertise
Main ProductsFog, Mems Imu, Inclinometer, Quartz Accelerometer, Mems Accelerometer, Mems Gyroscope, Fog Based Imu, Mems Ahrs, Mems Ins, Electronic Compass
Our Industry Experience & Global Business Record
Main MarketsSoutheast Asia, Mid East, Western Europe
Product Q&A
Q:How does INS maintain position accuracy without GNSS input?
A:
INS uses dead-reckoning via IMU data (gyroscope angular rates + accelerometer specific forces), integrated with error modeling to predict position drift. The system minimizes errors via Kalman filtering, leveraging prior calibration and sensor redundancy.
Q:What is the typical drift rate in pure inertial navigation mode?
A:
For long-haul autonomous vehicles (e.g., trucking), this allows 100+ km navigation without GNSS, reducing reliance on satellite signals in remote areas.
Q:How does GNSS/INS combined navigation improve accuracy?
A:
Tight coupling fuses GNSS pseudorange/carrier-phase data with INS accelerometer/gyroscope measurements, correcting INS errors via GNSS position/velocity updates. This reduces position error growth from ~100 m/h (pure INS) to <0.1 m/h (combined).
Q:What factors cause position error to grow over time?
A:
IMU bias drift (gyroscopes/accelerometers), gravity field variations, and installation misalignment (lever arm errors) accumulate position errors. The system mitigates this via Kalman filtering and periodic calibration.
Q:How does INS calculate velocity and position from raw IMU data?
A:
Integrates gyroscope angular rates to compute attitude, then integrates accelerometer data (via double integration) to derive velocity and position, corrected by GNSS updates. The system uses quaternion-based attitude representation for smooth state transitions.
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*To:Hangzhou Maixinminwei Technology Co., Ltd.
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