Estimation with Applications to Tracking and Navigation

Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation<br> Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations. It explains state estimator design using a balanced combination of linear systems, probability, and statistics.<br> The authors provide a review of the necessary background mathematical techniques and offer an overview of the basic concepts in estimation. They then provide detailed treatments of all the major issues in estimation with a focus on applying these techniques to real systems. Other features include:<br> * Problems that apply theoretical material to real-world applications<br> * In-depth coverage of the Interacting Multiple Model (IMM) estimator<br> * Companion DynaEst(TM) software for MATLAB(TM) implementation of Kalman filters and IMM estimators<br> * Design guidelines for tracking filters<br> Suitable for graduate engineering students and engineers working in remote sensors and tracking, Estimation with Applications to Tracking and Navigation provides expert coverage of this important area.