
How Can INS Solutions Overcome Navigation Challenges in Complex Environments?
Inertial Navigation Systems (INS) operate independently of external signals by measuring acceleration and angular velocity through internal sensors, making them indispensable in environments where GNSS signals are blocked or unreliable. Through sophisticated sensor fusion, error compensation, and AI-driven corrections, INS delivers continuous, accurate positioning in the most demanding scenarios.

What Is the Difference Between an IMU and an INS?
An IMU measures motion, while an INS uses IMU data to compute position and orientation over time—IMU is a sensor, INS is a system.

What Is An Inertial Navigation Systems (INS)?
An Inertial Navigation System (INS) determines position, velocity, and orientation using only internal motion sensors, enabling precise navigation across a wide range of applications—including autonomous systems, underwater platforms, and mission-critical defense operations.

What Are the Key Strengths and Limitations of the LN-200 FOG IMU?
The LN-200 series Fiber Optic Gyroscope (FOG) IMU has long been regarded as a reliable, battle-tested solution for tactical-grade inertial navigation. Deployed across thousands of platforms in aerospace, defense, and advanced guidance systems, it continues to serve missions where rugged performance is critical.

What Are the Key Strengths and Limitations of the STIM300 MEMS IMU?
The STIM300 is a tactical-grade MEMS IMU designed for high-precision applications in defense, aerospace, and autonomous systems. With gyroscope bias instability as low as 0.3°/h, it delivers strong performance in a compact and rugged form factor. While it stands out for its stability and export flexibility, its high cost and lack of integrated features may be limiting for some use cases.

MEMS vs FOG: Which is Best for Your Application?
MEMS IMUs are smaller, lighter, and more cost-effective, making them ideal for space- and power-constrained systems. FOG IMUs, by contrast, deliver significantly better bias stability, lower drift, and superior performance in harsh or GNSS-denied environments.