MEMS Inertial Measurement Units (IMUs) provide triaxial acceleration and angular-rate measurements that have become essential to modern autonomous navigation systems. Their scalability, affordability, and continued performance advancements have enabled widespread adoption across a growing range of emerging navigation platforms.

Within these systems, the IMU often serves as the lowest-latency source of motion feedback, making its performance critical during highly dynamic maneuvers and operation in challenging environments. While traditional specifications such as angle random walk and in-run bias stability remain important, they do not always predict navigation performance under real-world operating conditions. Dynamic error mechanisms, including vibration sensitivity, cross-axis coupling, and environmental influences, can become dominant contributors to system-level tracking error.

This webinar explores the key challenges navigation architects face when designing next-generation autonomous platforms and examines how advanced MEMS IMU technologies can help extend performance beyond the limits of conventional solutions. Attendees will gain practical insight into identifying critical error sources, translating sensor specifications into mission-level performance, and selecting IMU architectures that enable more precise and resilient navigation.

In this webinar, you'll learn

• How MEMS IMUs act as feedback sensing elements in guidance, navigation, and control (GNC) platforms
• Why their low latency makes them central to steering and stabilization, and how they support localization
• Which dynamic error sources to account for when setting inertial sensor requirements
• How the ADIS16607 delivers breakthrough vibration rejection in a substantially smaller footprint