%0 Journal Article
%T 基于DAC统计模型的卫星导航欺骗干扰检测<br>Detection of Spoofing of Satellite Navigation Receivers Based on Statistical Model of DAC
%A 张茴
%A 孙闽红
%A 王海泉
%A 沈雷
%A 邱雨
%A 甘一鸣
%J Hans Journal of Wireless Communications
%P 73-82
%@ 2163-3991
%D 2014
%I Hans Publishing
%R 10.12677/HJWC.2014.45012
%X <div style=\"text-align:justify;\">
	<span style=\"line-height:1.5;\">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。&lt;br/&gt;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.</span>
</div>
%K 干扰识别，欺骗干扰，DAC，统计建模<br>Jamming Identification
%K Spoofing Detection
%K DAC
%K Statistics Modeling
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=14238