Optimal Trajectory Estimation for Missile Defense Applications

Optimal Trajectory Estimation for Missile Defense Applications is concerned with the application of modern estimation theory to aerospace trajectory estimation. It begins with a historical perspective on classical and modern estimation, followed by discussion of primary design challenges for trajectory estimation and real-world considerations that can complicate straightforward application of modern estimation theory to trajectory estimation. Subsequent chapters cover topics including: Modern estimation theory Nonlinear measurement models Closed-form solutions for nonlinear state and covariance predictions for two-body orbits Bias characterization filter Real-time orbit determination and bias estimation Radar trilateration and its comparison with more conventional techniques such as triangulation and fused triangulation Nonlinear recursive algorithm for estimation and prediction of boost trajectories New models for maneuvering reentry vehicle (MaRV) acceleration dynamics New acceleration characterization filter for reentry orbit determination with unmodeled maneuvers Precise reentry maneuver estimation using radar trilateration Application of optimal guidance and nonlinear estimation algorithms to the interception of an accelerating target during boost or a decelerating target during reentry A linear, minimum-variance filter for fast frequency estimation Estimation and correction of tropospheric biases in radar tracks using bending angle measurements, determined using GPS radio occultation (GPS-RO) techniques Well-suited for scholarly, professional, and industry audiences, this book provides a comprehensive and methodical examination of the subject matter, with robust examples, explanations, equations, graphs and diagrams, appendices, and references included within the text. Read more