Phil Kim wrote this book specifically for the reader who is not a mathematician but needs to understand the filter to build things.
Phil Kim’s "Kalman Filter for Beginners: With MATLAB Examples" provides an accessible, intuition-driven introduction to state estimation, prioritizing practical implementation over complex mathematical proofs. The text covers fundamental recursive filters, the core Kalman algorithm, and nonlinear extensions like EKF and UKF, accompanied by MATLAB code for tracking and sensor fusion. For more details, visit MathWorks . Phil Kim wrote this book specifically for the