Beschreibung:
Featuring a unified framework to derive different grid-based nonlinear estimation algorithms from a numerical integration perspective, this book discusses the fundamental concepts of many widely used nonlinear estimation techniques.
Preliminary Estimation Concepts. Dynamic System Description. Linear Estimation of Dynamic Systems. Nonlinear Estimation: Conventional Filters . Nonlinear Estimation: Grid-based Filtering and Smoothing. Nonlinear Estimation: Gaussian Mixture Filters. Multiple Sensor Estimation. Applications: Uncertainty Propagation. Applications: Target Tracking. Applications: Guidance, Navigation, and Control of Spacecraft.