一种面向无人机通感一体化系统的资源分配方法

By employing convex optimization and reinforcement learning techniques to jointly optimize the UAV's position and beamforming in the UAV system, the problem of low utilization efficiency of spectrum resources and hardware devices is solved, and efficient resource allocation and performance improvement of the integrated communication and sensing system are achieved.

CN117295090BActive Publication Date: 2026-07-17UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Filing Date
2023-09-20
Publication Date
2026-07-17

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Abstract

本发明属于雷达通信感知一体化技术领域，具体涉及一种面向无人机通感一体化系统的资源分配方法。本发明首先，在固定无人机位置的情况下，将原始资源分配问题转化为仅对波束成形设计求解的优化问题；其次采用二次变换，将该问题转化为能够为分式规划(FP)的形式，并采用迭代优化的形式逐次逼近最优解，同时得到当前系统最优性能；最后，基于内层所得系统最优性能，利用深度确定性策略梯度(DDPG)算法对UAV位置进行寻优，将性能作为当前时刻奖励值，以信道状态信息(CSI)作为状态，以UAV下一步动作作为动作值，同时借助经验存储机制对动作网络及价值网络进行步进训练。通过对三维UAV的位置及波束成形矢量交替优化，从而收敛至系统最优。
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