基于DAC统计模型的卫星导航欺骗干扰检测
Detection of Spoofing of Satellite Navigation Receivers Based on Statistical Model of DAC

DOI: 10.12677/HJWC.2014.45012, PP. 73-82

Keywords: 干扰识别，欺骗干扰，DAC，统计建模
Jamming Identification, Spoofing Detection, DAC, Statistics Modeling

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Abstract:

针对欺骗干扰信号常在时域、频域和空域与真实信号重叠，导致识别欺骗干扰难度较大的问题，本文假定真实发射机与欺骗干扰机射频前端器件除数模转换器(DAC)外均工作于理想状态，提出了一种基于DAC建模的欺骗干扰识别方法。首先，利用积分非线性(INL)和差分非线性(DNL)对DAC的非线性进行统计建模，提取特征向量；其次，基于似然比检测和欧氏距离法实现欺骗干扰识别；最后，通过仿真实验验证了方法的有效性。
Since real signals and spoofing signals are overlapped in time domain, frequency domain and time-frequency domain, it is not easy to distinguish them. In this paper, a new identification method based on the model of digital-to-analog converter (DAC) is proposed on a condition that the devices of transmitter and jammer are in desired state except the DAC. Firstly, the DAC is modeled with the integral non-linear (INL) and differential non-linear (DNL) to extract the parameter vector; secondly, the spoofing signals are identified by using a LRT detector and a na？ve method; lastly, the effectiveness of the proposed method is verified via simulation.

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