Open AccessCoordination of optimal guidance law and adaptive radiated waveform for interception and rendezvous problems
Author(s) -
Balleri Alessio,
Farina Alfonso,
Benavoli Alessio
Publication year - 2017
Publication title -
iet radar, sonar and navigation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.489
H-Index - 82
eISSN - 1751-8792
pISSN - 1751-8784
DOI - 10.1049/iet-rsn.2016.0547
Subject(s) - control theory (sociology) , waveform , kalman filter , range (aeronautics) , position (finance) , radar , computer science , filter (signal processing) , controller (irrigation) , extended kalman filter , engineering , law , artificial intelligence , computer vision , aerospace engineering , telecommunications , agronomy , control (management) , finance , political science , economics , biology
The authors present an algorithm that allows an interceptor aircraft equipped with an airborne radar to meet another air target (the intercepted) by developing a guidance law and automatically adapting and optimising the transmitted waveform on a pulse‐to‐pulse basis. The algorithm uses a Kalman filter to predict the relative position and speed of the interceptor with respect to the target. The transmitted waveform is automatically selected based on its ambiguity function and accuracy properties along the approaching path. For each pulse, the interceptor predicts its position and velocity with respect to the target, takes a measurement of range and radial velocity and, with the Kalman filter, refines the relative range and range rate estimates. These are fed into a linear quadratic Gaussian controller that ensures the interceptor reaches the target automatically and successfully with minimum error and with the minimum guidance energy consumption.