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Real-time interference detection and mitigation in robust tracking loop of GPS receiver

机译:GPS接收机鲁棒跟踪环路实时干扰检测与缓解

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摘要

Spoofing has a vital role in distortingaEuroZ global positioning system (GPS) signals. In this paper, a plenary anti-spoofing approach based on correlation and adaptive aEuroZKalman filtering is proposed to distinguish and then diminish spoofing effects. The suggested aEuroZmethod can be easily implemented in tracking loop of GPS receiver. According to the actual situation, the receiver requires constantly adjusting the system model or filtering parameters. We will study a real-time spoof recognition aEuroZmethod that has clear certainty by introducing a reliable exhaustive metric. In aEuroZcompensation phase, a kind of innovation based Adaptive Extended Kalman Filter (AEKF) is addressed and a new system model is put forward. As a primary step, the proposed technique is aEuroZimplemented in software receiver to prove the concept of idea in a multipath-free aEuroZscenario. Three different data sets have been collected to use in the aEuroZperformance assessment of the method. The results indicate that the investigated algorithm is aEuroZable to perform a real-time detection and reduce the miss-adjustment of steady-state positioning.
机译:欺骗在DistortingAeuroz全球定位系统(GPS)信号中具有重要作用。本文提出了一种基于相关性和适应性Aeurozkalman滤波的全体反欺骗方法,以区分,然后减少欺骗效果。建议的AeurozMethod可以在跟踪GPS接收器的循环中轻松实现。根据实际情况,接收器需要不断调整系统模型或过滤参数。我们将研究一个实时欺骗识别AeurozMethod,通过引入可靠的详尽度量来清楚地确定。在AeurozComponsation阶段,解决了一种基于创新的自适应扩展卡尔曼滤波器(AEKF),提出了一种新的系统模型。作为一个主要步骤,所提出的技术是在软件接收器中的基因仪中,以证明在多径的AeurozScenario中的想法概念。已经收集了三种不同的数据集以用于该方法的Aeurozperformance评估。结果表明,调查算法是一种无法执行实时检测,减少稳态定位的错过调整。

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