An adaptive task scheduling algorithm for 3-D target imaging in radar network

Abstract An effective task scheduling method is the premise and guarantee for cooperative imaging in radar network. In this article, an adaptive algorithm three-dimensional (3-D) target network investigated. The aim of our strategy to achieve multiple 3-D tasks with minimal time. Firstly, image can be reconstructed by high-resolution inverse aperture (ISAR) images from three views, sparse based on compressed sensing (CS) adopted acquire ISAR targets. Then, optimization model constructed. Through steps Information perception, selection adjustment terminal time, optimal obtained resource utilization significantly improved. Finally, experiments highlight effectiveness proposed method.