论文标题
基于服务质量的雷达资源管理用于干扰
Quality of service based radar resource management for interference mitigation
论文作者
论文摘要
智能雷达资源管理是任何现代雷达系统的重要组成部分。基于服务的资源分配模型（Q-RAM）为深刻而可量化的决策提供了一个框架，但缺乏在干扰存在下最佳缓解策略所必需的灵活性。我们使用各种缓解方法定义了基于Q-RAM的雷达资源管理框架的扩展。该方法结合了虚拟时间资源和替代任务配置，以在干扰下计算近乎最佳的解决方案。提供的实验结果表明，对传统策略有了重大改进。
An intelligent radar resource management is an essential building block of any modern radar system. The quality of service based resource allocation model (Q-RAM) provides a framework for profound and quantifiable decision making but lacks the flexibility necessary for optimal mitigation strategies in the presence of interference. We define an extension of the Q-RAM based radar resource management framework with an intelligent interference handling capability using various mitigation methods. The approach incorporates virtual time resources and alternative task configurations to compute near-optimal solutions in the presence of interference. The provided experimental results demonstrate a significant improvement over traditional strategies.
