节能3D轨迹优化和资源分配,用于无人机支持的ISAC系统
Lulu Jing1,2, Hai Wang1, Zhen Qin3,4
1College of Communications Engineering, Army Engineering University, Nanjing 210042, China.
Entropy (Basel, Switzerland)
|February 27, 2026
概括
无人驾驶飞行器 (UAV) 可以增强传感和通信,但面临能源限制. 这项研究优化了无人机轨迹,调度和功率,以在综合传感和通信系统 (ISAC) 中实现最大传感能效 (SEE).
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 机器人技术 机器人技术 机器人技术
背景情况:
- 无人驾驶飞行器 (UAV) 为传感和通信提供灵活,自主的空中平台.
- 有限的机载能源限制了无人机的运行时间和效率.
- 综合传感和通信系统 (ISAC) 在一个平台上结合了雷达传感和数据传输.
研究的目的:
- 在无人机辅助的ISAC系统中最大限度地提高传感能效 (SEE).
- 为了共同优化无人机3D轨迹,任务安排和功率分配.
- 解决在远程和时间关键的场景中持续无人机操作的能源瓶.
主要方法:
- 制定一个非凸的分数编程问题,以最大限度地提高SEE.
- 开发一种代算法,将丁克尔巴赫方法和区块坐标下降 (BCD) 结合起来.
- 在动力学和覆盖范围限制下,联合优化无人机轨迹,任务安排和功率分配.
主要成果:
- 提出的代算法有效地解决了复杂的优化问题.
- 与现有方法相比,在传感性能和能源消耗之间取得了更好的权衡.
- 证明了优化多个参数以提高能源效率的可行性.
结论:
- 拟议的优化策略显著改善了无人机辅助ISAC系统的SEE.
- 共同优化轨迹,调度和功率对于节能无人机操作至关重要.
- 这项研究为设计可持续和高效的空中传感和通信平台提供了框架.
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