Terminal Trajectory Planning for Synthetic Aperture Radar Imaging Guidance Based on Chronological Iterative Search Framework

Multi‐objective terminal trajectory optimization based on hybrid genetic algorithm pseudospectral method

“…The point mass model with freedom of three degrees is adopted and the kinematical equations of the missile in TSLC are determined as [10]…”

“…The point mass model with freedom of three degrees is adopted and the kinematical equations of the missile in TSLC are determined as [10] $$$$\begin{equation} {\left\lbrace \def\eqcellsep{&}\begin{array}{l}m \dot{V}=T \cos \alpha -X-m g \sin \theta \\[3pt] m V \dot{\theta }=T \sin \alpha \cos \gamma +Y \cos \gamma -m g \cos \theta \\[3pt] m V \cos \theta \dot{\psi }=-T\sin \alpha \sin \gamma -Y \sin \gamma \\[3pt] \dot{x}=V \cos \theta \cos \psi \\[3pt] \dot{y}=V \sin \theta \\[3pt] \dot{z}=-V \cos \theta \sin \psi \end{array} \right. }, \end{equation}$$$$where $$m$$ is the mass of the vehicle, $$g$$ is the gravity acceleration, and $$V$$ is the velocity.…”

“…The optimization method based on a constrained‐adaptive‐multiobjective‐differential‐evolution algorithm was proposed. Furthermore, a novel chronological iterative search framework (CISF) was presented in [10], where the terminal trajectory optimization for SAR imaging guidance was investigated.…”