You can use the powerful Kalman Filter, even if you don't know all the theory! Join me for Part 1 of my three-part series, where I introduce the concepts, breaking it down for you. I take a simple approach, starting with recursive filters like the average, moving average, and low-pass filters. I'll even show you real-world MATLAB examples to bring it all to life. Enhance your estimation and data analysis skills and take your understanding to new heights.
*(3-Video Series) Kalman Filters for Beginners:* [ Ссылка ]
*CORRECTIONS:* At 10:58, I say that the noise was uniformly distributed, but I meant *normally* distributed with standard deviation of 4. And 14:10, MATLAB command randn gives the normal distribution.
👩🏽💻 *Get the MATLAB Code:* [ Ссылка ]
This special lecture series takes us into *dynamic* attitude estimation, using time-varying gyroscope data, as opposed to the previously covered *static* attitude estimation, which uses simultaneous measurements of known external objects.
► *Next: Kalman Filter for Beginners, Part 2* - Estimation and Prediction Process & MATLAB Example
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► *Previous, Attitude Determination, Davenport's Q-Method for Optimal State Estimation | Theory & MATLAB Demo*
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► *Chapters*
0:00 Introduction
0:21 Recursive expression for average
5:52 Simple example of recursive average filter
10:21 MATLAB demo of recursive average filter for noisy data
17:55 Moving average filter
21:14 MATLAB moving average filter example
26:49 Low-pass filter
37:03 MATLAB low-pass filter example
41:03 Basics of the Kalman Filter algorithm
► More lectures posted regularly
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► Dr. Shane Ross 🌠 aerospace engineering professor, Virginia Tech
Background: Caltech PhD | worked at NASA/JPL & Boeing
Research website for @ProfessorRoss
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► Follow me on Twitter
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► *Space Vehicle Dynamics course videos (playlist)*
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► *Lecture notes for Kalman Filter series (PDF)*
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► *MATLAB Code*
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► *Reference*
Kalman Filter for Beginners: with MATLAB Examples
by Phil Kim (Author), Lynn Huh (Translator), 2010
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► *Video Courses & Playlists by Professor Ross*
▶️ Kalman Filters for Beginners:
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▶️ Nonlinear Dynamics & Chaos
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▶️ Hamiltonian Dynamics
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▶️ 3-Body Problem Orbital Dynamics
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▶️ Center Manifolds, Normal Forms, & Bifurcations
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▶️ Space Vehicle Dynamics
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▶️ Lagrangian & 3D Rigid Body Dynamics
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▶️ Space Manifolds
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Implement a Kalman filter for dummies unscented extended dynamics control and estimation uncertainty propagation multiple shooting Visually Explained tutorial MATLAB aerospace attitude estimation sensor fusion mathematics recursion orbital mechanics three body problem Lagrange Point space CR3BP 3 Manifolds James Webb Nonlinear Dynamics gravity Travel Superhighway Interplanetary Highway gravitational dynamical Astronomy astronomy wormhole physics chaos unstable Periodic Orbits Saddle Critical Halo Libration Low Energy Virginia Tech Caltech JPL Lyapunov Celestial Mechanics Hamiltonian planets moons multibody Gateway Station Lunar L1 Arches Of cislunar orbital celestial Chaotician Boeing Jet Propulsion Lab Centaurs Asteroids Comets Trojan Jupiter Family Hildas quasi Kuiper Belt
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