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

• Published in: EURASIP journal on advances in signal processing Vol. 2022; no. 1; pp. 1 - 20
• Main Authors: Wang, Dan, Zhang, Qun, Luo, Ying, Liu, Xiaowen, Liang, Jia
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 08.04.2022; Springer; Springer Nature B.V; SpringerOpen
• Subjects: 3-D target image; Adaptive algorithms; Adaptive task scheduling strategy; Algorithms; Engineering; Image acquisition; Image reconstruction; Image resolution; ISAR; Optimization models; Quantum Information Technology; Radar imaging; Radar network; Radar networks; Radar signal processing; Resource utilization; Scheduling; Signal,Image and Speech Processing; Spintronics; Task scheduling; China; ISAR; Adaptive task scheduling strategy; 3-D target image; Radar network
• ISSN: 1687-6180; 1687-6172; 1687-6180
• DOI: 10.1186/s13634-022-00866-3

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