科研之友
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摘要
Backscatter communication has emerged as a promising technology to realize internet of things (IoT), which can fascinate the data transmission without energy supply and constitute a maintenance-free wireless network. When combining it with unmanned aerial vehicle (UAV), it can gather sensed data in extreme scenarios such as surveying in unreachable areas. When modulated by amplitude shift keying (ASK), the received signal at an UAV is the superposition of backscatter signal of tags and the signal of the RF source. As the UAV moves, the phase difference between the two signals changes. A phase cancellation effect will happen when the UAV enters a blind communication zone, which will deteriorate the performance of communication. In this paper, a two-step moving strategy for the UAV is proposed to eliminate the phase cancellation effect and find the optimal communication spot, so as to improve the reliability and stability of date transmission. The sampling-based UAV path planning algorithm and a median filter is used to adjust the moving direction and filter out environmental noise. By simulation, we can see that it is feasible for the UAV to find global optimal spot and the probability of finding the optimal spot can reach 96%.
