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首页> 外文期刊>Radar, Sonar & Navigation, IET >Spoofing profile estimation-based GNSS spoofing identification method for tightly coupled MEMS INS/GNSS integrated navigation system
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Spoofing profile estimation-based GNSS spoofing identification method for tightly coupled MEMS INS/GNSS integrated navigation system

机译：基于耦合仿制估计的紧密耦合MEMS INS / GNSS组合导航系统的GNSS欺骗识别方法

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摘要

The integration of global navigation satellite system (GNSS) and micro-electro-mechanical system (MEMS) inertial navigation system (INS) is widely used and it is under the increasing threat of GNSS spoofing. The innovation and the residual from the Kalman filter in MEMS INS/GNSS integrated system are rapidly distorted under spoofing attack, making it difficult for spoofing identification and exclusion. In the study, the authors propose a novel spoofing identification method based on the tightly coupled MEMS INS/GNSS integrated navigation system. There are two main contributions of this study. The first is the spoofing identification method based on estimating the spoofing profile through the innovation and the propagation process of the Kalman filter. The second is the iterative implementation of the spoofing profile estimator reducing the computational overhead. The performance of the proposed method is compared against existing anti-spoofing methods using real driving data and the effectiveness of the method is verified through a field experiment.
机译：全球导航卫星系统（GNSS）和微机电系统（MEMS）惯性导航系统（INS）的集成得到了广泛的应用，并且正面临着越来越严重的GNSS欺骗威胁。 MEMS INS / GNSS集成系统中卡尔曼滤波器的创新和残留会在欺骗攻击下迅速失真，从而难以识别和排除欺骗。在研究中，作者提出了一种基于紧密耦合的MEMS INS / GNSS组合导航系统的欺骗识别方法。这项研究有两个主要贡献。第一种是基于卡尔曼滤波器的创新和传播过程来估计欺骗轮廓的欺骗识别方法。第二个是欺骗轮廓估计器的迭代实现，可减少计算开销。该方法的性能与使用真实驾驶数据的现有反欺骗方法进行了比较，并通过现场实验验证了该方法的有效性。

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