This practical, hands-on reference/text comprehensively reviews the most effective radar tracking filter methods and their associated digital filtering algorithms-keying on newly developed systems for eliminating the real-time execution of complete recursive Kalman filtering matrix equations that significantly reduce tracking and updating time. Focuses on the role of tracking filters in operations of Radar Data Processors (RDPs) for satellites, missiles, aircraft, ships, submarines, and RPVs. Reflecting the author's three decades of experience in the development of tracking filters for radar applications, Kalman Filtering Techniques for Radar Tracking discusses continuous-time, discrete-time, and continuous/discrete-time formulations of Kalman filter theory analyzes systems for tracking aircraft in one dimension, as well as use of the Cartesian coordinate system for tracking in two and three dimensions estimates optimum state of the aircraft using noisy data obtained by track-while-scan radar sensors describes tracking filters for application to multitarget tracking addresses steady-state solutions of the ECV, ECA, and random walk velocity and acceleration models illustrates how computer tracking filters "purify" report data distorted by range and angular noise and more Containing helpful end-of-chapter summaries and over 700 equations and illustrations, Kalman Filtering Techniques for Radar Tracking is an exemplary reference for electrical, electronics, robotics, computer, and aerospace engineers, and an outstanding text for upper-level undergraduate and graduate students in these disciplines.