存在干扰下的无人机中继站波束成形算法

无人机(UAV)通信具有部署快、使用灵活、通信质量好等优点,在无线通信领域具有广阔的应用前景。采用UAV作为中继站构成的增强型卫星通信网络经常受到各种干扰的影响,导致其性能急剧下降。以信干噪比(SINR)最大化为准则,UAV中继站发射功率满足要求为约束条件的优化问题的基础上,提出了一种基于最大瑞利熵的波束成形(BF)算法,得出最优权矢量。为了降低BF算法的实现复杂度,进一步提出了一种基于迫零(ZF)的次优BF算法。计算机仿真验证了这2种BF算法的有效性。

Beamforming Algorithm for Multi-Antenna Unmanned Aerial Vehicle Relay in the Presence of Interference

Due to the advantages of flexible employment, applicable flexibility, high communication quality and so on, unmanned aerial vehicle (UAV) has a promising application prospect in wireless communications. However, the performance of the enhanced satellite systems with UAV relaying drops dramatically due to the effects of various interferences. In this paper, a constrained optimization problem is firstly formulated to maximize the signal-to-interference-plus-noise ratio (SINR) under the constraints of the transmit power of the UAV relay. Then a maximum Rayleigh entropy-based beamforming (BF) algorithm is proposed to obtain the optimal weight vectors. Moreover, a suboptimal BF algorithm based on the zero-forcing by applying further simplification on the above algorithm is also proposed. Finally, computer simulation results are given to validate the effectiveness of the two BF algorithms.