Basic Inertial Navigation Simulation Program

Resource Overview

Application Context: Inertial navigation uses inertial components (accelerometers) to measure the acceleration of a vehicle, then calculates velocity and position through integration and computation to achieve navigation and positioning. The components of an inertial navigation system are installed within the vehicle, operating without reliance on external information or energy radiation, making it resistant to interference and an autonomous navigation system. Key Technologies: Designed to understand fundamental principles of inertial navigation and perform simulations. Features efficient and practical code implementation with clear structure and comprehensive annotations. The simulation includes numerical integration algorithms (like Euler or Runge-Kutta methods) for motion trajectory calculation and coordinate transformation modules for navigation frame conversions.

Detailed Documentation

In fields such as aerospace, geological exploration, and missile guidance, inertial navigation systems serve as a commonly used method for navigation and positioning. These systems utilize inertial components (accelerometers) to measure the vehicle's acceleration, then compute velocity and position through integration and mathematical operations. Compared to other navigation systems, inertial navigation operates independently without external data or energy emission, offering strong anti-interference capabilities that make it highly favored in practical applications.

Regarding key technologies, understanding the fundamental principles of inertial navigation and conducting simulations require developing efficient, practical programs with clear code structure and complete documentation. The implementation typically involves numerical integration algorithms (e.g., trapezoidal or velocity Verlet integration) for state propagation and coordinate transformation functions handling navigation frame conversions. Additionally, in-depth research on system components—such as accelerometer error modeling (bias, scale factors) and attitude calculation using gyroscope data—is essential to ensure system stability and reliability.