<b>Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation</b><p><i>Estimation with Applications to Tracking and Navigation</i> 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.<p>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:<ul><li>Problems that apply theoretical material to real-world applications<li>In-depth coverage of the Interacting Multiple Model (IMM) estimator<li>Companion DynaEst(TM) software for MATLAB(TM) implementation of Kalman filters and IMM estimators<li>Design guidelines for tracking filters</ul><p>Suitable for graduate engineering students and engineers working in remote sensors and tracking, <i>Estimation with Applications to Tracking and Navigation</i> provides expert coverage of this important area.