毫米波波束编码技术由于其速率高、抗干扰能力强的优点被认为是无人机智能集群通信网络的重要解决方案。但在无人机智能集群的通信场景中，多种原因造成的机体不稳定抖动会使通信波束产生小角度偏转，引起通信质量的下降，从而影响无人机集群的控制与决策。针对这一问题，提出一种面向无人机集群通信的自适应波束设计方法。首先，根据传感器回传的机体波束抖动情况建立等效信道模型，随后利用量化的信道模型参数建立目标函数并获得理想的波束编码向量，在此基础上利用几何贪婪算法对其进行分解。仿真结果表明，提出的集群波束编码方法能够有效提高均值通信速率，同时相较于其他的系数分解算法，有效降低了计算复杂度。
Millimeter wave beam coding technology is considered as an important solution to the UAV intelligent trunking communication network because of its high speed and strong anti-interference ability. However, in the communication scenario of UAV intelligent swarm, the unstable jitter of the body caused by various reasons will cause small angle deflection of the communication beam, resulting in the decline of the communication quality, thus affecting the control and decision-making of the UAV swarm. To solve this problem, this paper proposes an adaptive beam design method for UAV swarm communication. First, the equivalent channel model is established according to the jitter of the beam measured by the sensor. Then, the objective function is established by using the quantized channel model parameters, and the ideal beam coding vector is obtained. On this basis, the geometric greedy algorithm is used to decompose it. The simulation results show that the proposed scheme can effectively improve the average communication rate and reduce the computational complexity compared with other coefficient decomposition algorithms.
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