无人机图传信号盲分析
首发时间:2020-03-03
摘要:无人机引起的安全隐患促使了无人机定位技术的研究,在已知无人机信号部分特征的基础上就可进行无源探测定位。本文采用软件定义无线电平台采集了大疆无人机的图传信号,对其进行盲分析。首先,采用基于循环自相关的OFDM(Orthogonal Frequency Division Multiplexing, 正交频分复用)时间参数估计算法估计信号循环前缀(Cyclic Prefix, CP)长度;然后,采用基于CP的最大似然估计同步算法和基于CP的频偏纠正算法进行时频校准;最后,利用了信号的自相关和互相关特性,详细解析了图传信号的帧结构、同步信号、导频信号。
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UAV Image Transmission Signal Blind Analysis
Abstract:Securityrisks caused by UAVs have contributed to the research on UAV positioning technology. Passive detection and positioning can be performed on the basis of some characteristics of UAV signals. This paper uses a software-defined radio platform to collect the image transmission signals of the DJI UAVs, and performs blind analysis on them. First, the cyclic autocorrelation-based OFDM (Orthogonal Frequency Division Multiplexing) time parameter estimation algorithm is used to estimate the signal's cyclic prefix (CP) length. Then, the CP-based maximum likelihood estimation synchronization algorithm and the CP-basedfrequency offset correction algorithm are used to time-frequency calibration. Finally, using the auto-correlation and cross-correlation characteristics of the signal, the frame structure, synchronization signal and pilot signal of the image transmission signals are analyzed in detail.
Keywords: UAV software defined radio imagetransmission signal blind analysis
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