Angle Random Walk (ARW) sets the ultimate limit of IMU accuracy. It cannot be removed by software, only reduced through low-noise sensor selection, stable thermal design, vibration isolation, and effective multi-sensor fusion strategies.

ARW isn’t a spec—it’s a clock. From the moment your IMU starts, it tells you how fast orientation trust degrades. The lower it is, the longer your system stays right.

IMU integration errors can destroy navigation reliability. From misalignment and vibration to poor calibration and overreliance on sensor fusion, engineers often repeat the same mistakes. In this guide, we explore the 10 most common mistakes in IMU integration, explain their consequences, and provide expert solutions you can apply in your own projects.

Fiber Optic Gyroscopes outperform MEMS by delivering long-term stability, radiation resistance, and precision that remains reliable for years. They are indispensable for satellites, constellations, and deep-space probes where accuracy cannot be compromised.

Inertial navigation accuracy is ultimately limited by how well sensor errors are modeled and compensated. From bias drift to random walk, effective mitigation requires a combination of hardware design, calibration routines, and real-time algorithmic correction.

Discover the top 10 fiber optic IMU suppliers in 2025, including Honeywell, Exail, GuideNav, and more. Compare bias drift, export control, and tactical performance for aerospace and defense applications.