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无人机(UAV)数据链在复杂电磁和地理自然环境中可靠性受到严重威胁,针对如何通过选择信道和调整信号发送功率保证UAV通信质量的问题,提出了一种结合相关向量回归(RVR)的信道选择和功率控制方法。方法采用RVR建立干扰信息、误码率(BER)与信噪比(SNR)的映射模型,通过该模型可根据实时干扰参数,预测信道满足UAV数据链BER要求的最小化SNR,进而可计算最小化的发送功率,把最小化功率作为标准判断信道质量好坏,选择信道的同时确定发送功率,简化过程,以最小化信道发送功率达到抗干扰的目的。仿真实验证明,该方法能够有效选择可用信道并调整发送功率,抑制干扰,时间和能量开销低,具有较强实用性。
The UAV data link is seriously threatened in complex electromagnetic and geo-physical environments. Aiming at the problem of how to ensure the quality of UAV communication by selecting channels and adjusting the signal transmission power, a new algorithm combining with the correlation vector regression (RVR) Channel selection and power control method. Methods RVR is used to establish a mapping model of interference information, bit error rate (BER) and signal-to-noise ratio (SNR). According to the real-time interference parameters, this model can predict the minimum SNR that the channel satisfies the BER requirement of UAV data chain, Transmit power, the minimum power as the standard to judge the channel quality is good or bad, select the channel at the same time determine the transmit power, simplify the process to minimize the channel transmit power to achieve the purpose of anti-jamming. Simulation results show that this method can effectively select the available channels and adjust the transmit power, suppress interference, low time and energy cost, and have strong practicability.