Detection of interference/jamming and spoofing in a DGPS-aided inertial system

White, Nathan A.; Maybeck, P.S.; DeVilbiss, S.L.

doi:10.1109/7.722708

Cited by 93 publications

(74 citation statements)

References 8 publications

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“…For the case of a spoofing attack on a tracking receiver, the spoofing signal correlation peak should be located as close as possible to that of the authentic signal; therefore, the correlator output power is affected by the spoofing signals. As such, assuming that the receiver is initially locked into tracking the authentic peak, the correlator output amplitude can be written as follows [19]: are delay and frequency differences between the authentic and spoofing signals, respectively, and these parameters are generally functions of time. R(·) is the correlation function that is closely related to the choice of GPS signal subcarrier.…”

Section: Distribution Analysis Of the Correlator Outputmentioning

confidence: 99%

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GPS Vulnerability to Spoofing Threats and a Review of Antispoofing Techniques

Jafarnia-Jahromi

Broumandan

Nielsen

et al. 2012

International Journal of Navigation and Observation

305

164

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GPS-dependent positioning, navigation, and timing synchronization procedures have a significant impact on everyday life. Therefore, such a widely used system increasingly becomes an attractive target for illicit exploitation by terrorists and hackers for various motives. As such, spoofing and antispoofing algorithms have become an important research topic within the GPS discipline. This paper will provide a review of recent research in the field of GPS spoofing/anti-spoofing. The vulnerability of GPS to a spoofing attack will be investigated and then different spoofing generation techniques will be discussed. After introducing spoofing signal model, a brief review of recently proposed anti-spoofing techniques and their performance in terms of spoofing detection and spoofing mitigation will be provided. Limitations of anti-spoofing algorithms will be discussed and some methods will be introduced to ameliorate these limitations. In addition, testing the spoofing/anti-spoofing methods is a challenging topic that encounters some limitations due to stringent emission regulations.

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Section: Distribution Analysis Of the Correlator Outputmentioning

confidence: 99%

“…These fluctuations cause the correlator output distribution to deviate from the expected χ 2 distribution. This feature can be used for detecting the presence of spoofing signals [19]. Figure 8 shows the correlator output distributions for different relative powers for authentic and spoofing signals.…”

Section: Distribution Analysis Of the Correlator Outputmentioning

confidence: 99%

GPS Vulnerability to Spoofing Threats and a Review of Antispoofing Techniques

Jafarnia-Jahromi

Broumandan

Nielsen

et al. 2012

International Journal of Navigation and Observation

305

164

View full text Add to dashboard Cite

show abstract

“…18,19 To deal with this defect, some researchers developed the adaptive estimating techniques, which can be classified into three categories, namely, the multiple model-based adaptive estimation (MMAE), 20,21 the innovationbased adaptive estimation (IAE), 18,19,22 and the residue-based adaptive estimation (RAE). 23 Among these researches, some of them estimate the uncertain process noise and the measurements noise, 20,21,23 and some of them scale the noise covariance matrices by single or multiple factors to make the estimation robust. 18,19,22 However, as far as the authors know, all the robust filtering techniques are utilized by the traditional translational and rotational motion models and none of them have been introduced to the parameters estimations based on the novel dual quaternion modeling method.…”

Section: Introductionmentioning

confidence: 99%

Adaptive pose and inertial parameters estimation of free-floating tumbling space objects using dual vector quaternions

Hou

Wang

et al. 2017

Advances in Mechanical Engineering

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The robust parameter estimation of unknown space objects is essential to the on-orbit servicing missions. Based on the adaptive filtering techniques along with the dual quaternions modeling methods for pose estimation, this article proposes a dual vector quaternions-based extended Kalman filter and a dual vector quaternions-based adaptive fading factors extended Kalman filter to estimate the parameters of a free-floating tumbling space target. Using the dual vector quaternions to model the kinematics and dynamics of the system, the representation of the model is concise and compact. Also, the translational and rotational coupled effects are considered. In addition, the estimation algorithm is designed by the innovation-based multiple adaptive fading factors. As a result, the dual vector quaternions-based adaptive fading factors extended Kalman filter is robust against the faulty measurements which may lead to divergence of the traditional extended Kalman filter. As far as the authors know, both the designed filters are the first pose and inertial parameters estimation algorithms based on dual vector quaternions, and the dual vector quaternions-based adaptive fading factors extended Kalman filter is the first robust dual vector quaternions-based parameters estimating method. Finally, the proposed dual vector quaternions-based extended Kalman filter and dual vector quaternions-based adaptive fading factors extended Kalman filter are validated by mathematical simulations, and the dual vector quaternions-based adaptive fading factors extended Kalman filter is compared with the dual vector quaternions-based extended Kalman filter to show its robust performances.

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“…However, some outlier values of measurements usually lead to filter divergence, and some modified Sage-Husa methods have then been introduced [7][8] . Also, a multiple-model-based adaptive method [9][10] that is different from the Sage-Husa adaptive filter is proposed to select the best state estimation from a bank of simultaneously operating Kalman filters, and the state estimation is produced as the average of the weighted elemental filter outputs. Additionally, to balance the contributions of process model information and measurements in state vector estimations, Yang et al [11] proposed a novel filter algorithm.…”

Section: Introductionmentioning

confidence: 99%

Simple adaptive filtering scheme to improve measurement accuracy of gyroscope on angular motion base

Zhang

Tian

Shu-wen

et al. 2009

J. Shanghai Jiaotong Univ. (Sci.)

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The objective of this work is to improve the measurement accuracy of a gyroscope on a angular motion base with a simple adaptive filter scheme. Two main topics are highlighted in this work. The first topic is to show building a dual-process model employed for the conventional Kalman filter. The second topic is to show developing a modified noise adaptive algorithm when measurement noise and process noise are unknown. The experimental results are presented to show that the simple adaptive filtering scheme outperforms the other conventional scheme in this paper in terms of noise reduction.

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Detection of interference/jamming and spoofing in a DGPS-aided inertial system

Cited by 93 publications

References 8 publications

GPS Vulnerability to Spoofing Threats and a Review of Antispoofing Techniques

GPS Vulnerability to Spoofing Threats and a Review of Antispoofing Techniques

Adaptive pose and inertial parameters estimation of free-floating tumbling space objects using dual vector quaternions

Simple adaptive filtering scheme to improve measurement accuracy of gyroscope on angular motion base

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