Bridge the gap between theoretical inertial navigation and practical engineering execution.
As the integration of Global Navigation Satellite Systems (GNSS) and Microelectromechanical Systems (MEMS) technology accelerates, engineers face increasingly complex trade-offs in positioning, navigation, and timing (PNT) design. This book delivers a direct, practical roadmap for designing, refining, and deploying inertial sensors and stabilization systems in modern geo-referenced applications.
What You Will Learn:
Sensor Suite & SWaP Integration: Match payload operating characteristics with inertial measurement units (IMUs) and inertial navigation systems (INS) while balancing Size, Weight, and Power (SWaP) constraints and environmental dynamics.Point and Track Systems (PTS): Implement stabilization control loops that minimize pointing disturbances and accurately estimate the inertial Line of Sight (LOS) angle.Gimballed vs. Non-Gimballed Designs: Evaluate multi-axis gimbals alongside non-gimballed alternatives, including micro-reflector transmitter arrays and optical/RF phased arrays.Artificial Intelligence (AI) & Machine Learning Integration: Apply generic design methodologies and algorithms tailored for adaptive control, fuzzy logic, and AI training models.Geo-Locating & Geo-Imaging: Utilize geo-imaging processing algorithms structured specifically for geo-location mapping and AI training pipelines.Designed for Professionals and Technical Users
Whether you are a control systems engineer, payload specialist, or robotics developer, this text skips unnecessary fluff to focus on core algorithms, control architectures, and actionable design paths you can implement directly into your projects.
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