Open AccessISAR imaging resource‐scheduling algorithm in network radar based on information fusion
Author(s) -
Li Aiqiong,
Liao Kefei,
Ouyang Shan,
Li Jingjing
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0531
Subject(s) - computer science , radar , scheduling (production processes) , inverse synthetic aperture radar , real time computing , radar imaging , algorithm , artificial intelligence , telecommunications , mathematics , mathematical optimization
Aiming at the application requirements of three‐dimensional (3‐D) fusion imaging of network radar, this study proposes an ISAR imaging resource‐scheduling algorithm for network radar. Based on the feature recognition of each radar to each target, a projection‐based method is first used to fuse the 3‐D information of targets. Then according to the fused information, the demand of time resources for each radar is analysed. The radars selected for each target imaging are determined. Finally, the scheduling model of the imaging task for network radar is established, and time resources for each radar are randomly allocated. The simulation results show that the scheduling success rate of the proposed algorithm is two times on average than that of the traditional algorithm under the situation when the resources are near‐saturated for both algorithms, which can improve the efficiency of network radar.