학술논문

Optimization of Radar Resource Scheduling Based on Improved Ant Colony Algorithm
Document Type
Conference
Source
2022 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP) Advanced Materials and Processes for RF and THz Applications (IMWS-AMP), 2022 IEEE MTT-S International Microwave Workshop Series on. :1-3 Nov, 2022
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Robotics and Control Systems
Signal Processing and Analysis
Radio frequency
Phased arrays
Scheduling algorithms
Spaceborne radar
Conferences
Optimization methods
Microwave theory and techniques
Language
ISSN
2694-2992
Abstract
In the case of limited radar resources, the resource scheduling strategy is of great significance to improve the space target cataloging ability. The traditional radar resource scheduling strategy uses fixed rules to allocate radar resources for observation requirements, which cannot maximize radar resources in practical applications.In this paper, a radar resource scheduling optimization method based on improved ant colony algorithm is proposed, which quantifies the space target observation requirements weighted by the task priority, and optimizes the scheduling result with the highest requirement satisfaction, so that the radar resources can be optimally allocated and the ability of space observation be improved.