I have interpreted your request as a desire for a structured, academic-style paper or guide based on the content and pedagogical style of Kalman Filter for Beginners: with MATLAB Examples by Phil Kim.
Are you trying to solve a (like smoothing sensor noise or predicting a moving target)? I have interpreted your request as a desire
A hallmark of this resource is the hands-on MATLAB code provided for each concept. Key examples include: Simple Estimation a finance quant building a smoother
Phil Kim’s book delivers precisely that. It is "hot" because it bridges the gap between the chalkboard and the command line. Whether you are an aerospace engineer wanting to track missiles, a finance quant building a smoother, or a robotics hobbyist trying to localize a robot—this book is your launchpad. I have interpreted your request as a desire