无人机测控系统抗干扰性的优化

针对无人机巡检中遇到的干扰,采用了抗干扰分段编码方案。提出了基于认知OFDM方法,构造一个较低的冗余优化设计方法。抗干扰段编码方案可以恢复丢失的数据包、穿过双奇偶校验数据包,避免突发干扰的主要用户的认知用户通信过程。实验结果表明,该方案比未编码方案具有更低的误帧率和更高的吞吐量性能,使得无人机的抗干扰性能得到提高。

Optimization of UAV control system anti jamming

Based on the rapid development of unmanned aerial vehicles (UAV), especially in the inspection of national power network. The inspection of the UAV transmission line can accurately find the fault point to ensure the stable operation of the system. According to the interference in the inspection of UAV, the anti jamming subsection coding scheme is adopted. This paper proposes a method based on cognitive OFDM, which is based on a low redundancy optimization design method. The anti interference segment coding scheme can recover the lost packets through the dual parity packets and avoid the interference of the main users of the cognitive user communication process. The experimental results show that the proposed scheme has lower frame error rate and higher throughput performance than the uncoded scheme, which improves the anti jamming performance of uav.