ISAR imaging resource-scheduling algorithm in network radar based on information fusion

Abstract

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.

Keywords

• image fusion
• radar imaging
• synthetic aperture radar
• scheduling
• resource allocation
• radar target recognition
• feature extraction
• network radar
• isar imaging resource-scheduling algorithm
• time resources
• target imaging
• 3d fusion imaging
• information fusion
• three-dimensional fusion imaging
• feature recognition
• projection-based method
• random resource allocation
• scheduling success rate