ISAR imaging resource adaptive scheduling method based on variable scheduling interval

Abstract

The invention discloses an ISAR imaging resource adaptive scheduling method based on a variable scheduling interval and relates to the radar adaptive imaging technology field. The method is used to solve the problem of increasing the time utilization rate of a radar resource. The method comprises the following steps of (1) initializing a parameter; (2) carrying out characteristic cognition on alltarget imaging tasks by a radar; (3) establishing a target imaging task radar resource scheduling algorithm optimization model; (4) joining the target imaging tasks; (5) determining a scheduling interval time length; (6) carrying out scheduling preprocessing; (7) sorting target imaging task request lists; (8) carrying out resource scheduling; (9) completing the imaging of the target imaging tasks;and (10) completing adaptive resource scheduling processing. In the technical schema of the invention, a radar resource can be fully used, the target imaging tasks to be executed can be reasonably arranged, and the time utilization rate and the scheduling success rate of a radar are increased.

Description

technical field [0001] The invention relates to the technical field of radar adaptive imaging, in particular to an adaptive scheduling method for ISAR imaging resources based on variable scheduling intervals. Background technique [0002] With the continuous development of radar imaging technology, under the framework of compressed sensing theory, continuous observation imaging of targets can be transformed into random sparse observation imaging, and high-quality target ISAR images can be obtained under the condition of sparse aperture, which meets the needs of imaging tasks. Incorporating into the phased array radar resource scheduling model provides effective technical support. [0003] Chen Yijun et al. proposed a "Radar Resource Adaptive Scheduling Algorithm Based on Sparse Aperture ISAR Imaging" (Journal of Missiles and Guidance, 2013, 33(4): 171-176) for resource scheduling of multi-target imaging tasks. On the basis of expected imaging quality, the utilization rate o...

AI Technical Summary

Problems solved by technology

However, most of these algorithms are adaptive scheduling algorithms based on fixed-length scheduling intervals. After completing the scheduling of target imaging tasks in each scheduling interval, there will still be more idle time at the end of the scheduling interval, that is, the radar cannot be fully utilized. resources, waste of resources

Images