Research Article
Adaptive Scheduling Algorithm for ISAR Imaging Radar Based on Pulse Interleaving
@INPROCEEDINGS{10.1007/978-3-319-73447-7_20, author={Di Meng and Han-yang Xu and Qun Zhang and Yi-jun Chen}, title={Adaptive Scheduling Algorithm for ISAR Imaging Radar Based on Pulse Interleaving}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Phased array radar Resource scheduling Pulse interleaving Sparse aperture imaging}, doi={10.1007/978-3-319-73447-7_20} }- Di Meng
Han-yang Xu
Qun Zhang
Yi-jun Chen
Year: 2018
Adaptive Scheduling Algorithm for ISAR Imaging Radar Based on Pulse Interleaving
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_20
Abstract
Aiming at imaging task scheduling of multifunction phased array radar, this paper puts forward an adaptive scheduling algorithm for ISAR imaging radar based on pulse interleaving. Firstly, required resources for sparse aperture ISAR imaging were calculated according to initial cognition of target feature, based on that, a rational and optimized scheduling model of interleaving pulse dwelling is established, then radar resources can be allocated reasonably under the dual restraints of time and energy. At last, different targets were imaged respectively using compressed sensing-based sparse aperture ISAR imaging method and required imaging resolution is achieved while resource utilization rate is enhanced apparently. The simulation testified the feasibility of this algorithm.