An Algorithm for Extracting RF Features of UAV Communication Signals Based on Signal Profile

This paper mainly studies the detection and identification of micro-UAVs by using the radio frequency characteristics of UAV downlink communication signals, and proposes an algorithm to automatically extract key radio frequency signal segment. The algorithm mainly consists of three parts: extracting the signal envelope, determining the threshold adaptively, and extracting the key signal according to the threshold. The experimental results show that the method is proved to be feasible and can be used to extract the radio frequency characteristic part of the downlink communication signal of the micro-UAV.