Navigation and Positioning System

Application

Description

High-precision navigation solution using Senodia IMU sensors for autonomous vehicles, drones, and robotics applications

Core Advantages

High Precision Advanced sensor fusion algorithms deliver sub-degree accuracy for attitude and heading estimation

Low Drift Optimized calibration and compensation techniques minimize long-term drift for reliable navigation

Dynamic Performance High update rate and low latency enable real-time control in fast-moving applications

Robust Operation Vibration compensation and environmental robustness ensure reliable performance in harsh conditions

Recommended Bill of Materials (BOM)

Item	Part Number	Description	Quantity	Datasheet
1	SIM3300	High-performance IMU with 6-axis sensing	1	📄 Download
2	SMA3300	3-axis accelerometer for tilt sensing	1	📄 Download

Applications

Autonomous Vehicles

Industrial Drones

Robotics

Precision Agriculture

Surveying Equipment

Technical Specifications

Attitude Accuracy

<0.5° RMS

Heading Accuracy

<1° RMS (with magnetometer)

Update Rate

Up to 1kHz

Gyro Bias Stability

<5°/h

Operating Temperature

-40°C to +85°C

Customer Success Stories

AutoNav Systems

Autonomous Vehicles |

Challenge

Required precise navigation for GPS-denied environments

Solution

Implemented Senodia IMU-based navigation system with sensor fusion

Results

Achieved <0.3° attitude accuracy, reliable operation in tunnels and urban canyons

FAE Expert Insights

Dr. Li Wei

Senior FAE

Professional Insights

Key considerations: Implement proper sensor calibration during manufacturing; Use appropriate sensor fusion algorithm for your application dynamics; Consider temperature compensation for best accuracy; Validate performance across operating temperature range; Plan for magnetic interference in heading estimation. Common pitfalls to avoid: Insufficient calibration leading to offset errors; Wrong sensor fusion algorithm for application dynamics; Magnetic interference affecting heading accuracy; Inadequate vibration isolation in high-g environments; Temperature effects not properly compensated.

Key Takeaways

Implement proper sensor calibration during manufacturing
Use appropriate sensor fusion algorithm for your application dynamics
Consider temperature compensation for best accuracy
Validate performance across operating temperature range
Plan for magnetic interference in heading estimation

Decision Framework

Steps:

Evaluate requirements
Compare solutions
Consult FAE

Ready to Implement This Solution?

Contact our FAE team for design support and quotes

Frequently Asked Questions

What is the typical accuracy for attitude estimation?

The system achieves <0.5° RMS accuracy for roll and pitch under static conditions. Dynamic accuracy depends on motion characteristics but typically remains under 1° for moderate dynamics. Heading accuracy is <1° when magnetometer is properly calibrated and magnetic interference is minimal.

Verify accuracy meets your application requirements; contact FAE for specific use case validation.

How does the system handle GPS-denied environments?

The system uses dead reckoning based on IMU data to estimate position and velocity when GPS is unavailable. Position drift accumulates over time (typically 1-2% of distance traveled), so the system is best suited for short GPS outages or applications with periodic GPS updates.

Evaluate duration of GPS outages; implement periodic GPS updates for long-term accuracy.

What calibration is required?

Factory calibration includes bias, scale factor, and misalignment compensation for accelerometers and gyroscopes. In-field calibration may include magnetometer hard/soft iron compensation. Temperature calibration is performed across the operating range.

Use factory calibrated sensors; implement in-field magnetometer calibration if magnetic environment varies.