DME/TACAN interference mitigation for GNSS: algorithms and flight test results

Gao, Grace Xingxin; Heng, Liang; Hornbostel, A.; Denks, Holmer; Meurer, Michael; Walter, Todd; Enge, Per

doi:10.1007/s10291-012-0301-9

Cited by 35 publications

(22 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The situation is even worse in urban environments since the possible interference signal sources are more prominent. For example, the high power pulse signal emitted by distance measuring equipment, which is used in the aeronautical radio navigation service system, will interfere with GPS L5, Galileo E5, and the BeiDou B2 frequency band . The second and third harmonic signals of the digital video broadcast system will corrupt the GPS L1 band signal .…”

Section: Introductionmentioning

confidence: 99%

Urban area GNSS in‐car‐jammer localization based on pattern recognition

et al. 2019

View full text Add to dashboard Cite

A GNSS in‐car‐jammer poses a great threat to the security of navigation satellite signals for civilian applications. Traditional interference localization methods such as received signal strength (RSS), signal arrival angle (AOA), and signal arrival time difference (TDOA) have poor performance in urban environments due to line‐of‐sight (LoS) path obstruction and reflection. In this paper, a new interference localization method, which works on monitoring networks and follows the pattern recognition principle is proposed. The algorithm locates the jammer by learning the carrier‐to‐noise density ratio features that are extracted from the data of all monitoring nodes of the network with the means of binary tree support vector machine (SVM) classification technology. Its performance is tested by two simulated interference scenarios: the urban canyon and the urban residential area. Results show that the algorithm provides better localization reliability and smaller position errors compared with traditional localization methods.

show abstract

Section: Introductionmentioning

confidence: 99%

Urban area GNSS in‐car‐jammer localization based on pattern recognition

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Pulse blanking, notch filter, and hybrid method are most often used among the developed anti-interference techniques. Pulse blanking method mitigates the interference by setting the signals which exceed the threshold to zero in time domain [5,6]. It is easy to implement with less computation complexity and has already verified on experimental hardware receiver [7].…”

Section: Introductionmentioning

confidence: 99%

“…Notch filter method mitigates the interference by letting the signal pass a narrow band notch filter involving DME frequencies [5,8]. Both the central part and the tail part of bell-shaped interferences can be thoroughly suppressed with this method because the DME signal only exists on some special frequencies.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

DME interference suppression algorithm based on signal separation estimation theory for civil aviation system

Hao

et al. 2016

J Wireless Com Network

View full text Add to dashboard Cite

Using exclusively for civil aviation system, GPS (Global Positioning System) L5 signal is set up and takes up an appointed frequency band. However, the DME (distance measurement equipment) signal which has already applied for distance measurement in the civil aviation system works as the same frequency band as GPS L5 signal. As a forced high-power pulse interference, DME signal will decrease SINR (signal-to-interference and noise ratio) of GPS L5 signal and even give rise to failure of acquisition and tracking. In case the DME interferences come from more than one base station, the traditional DME interference suppression methods which bring about the loss of GPS signal will suffer from serious performance degradation. In the light of the received signal model, a new DME interference mitigation algorithm is presented in this paper. At first, frequency is estimated with tmwapDFT (time-modulated windowed all-phase DFT). Then, we use the estimated frequency to get amplitude and signal delay information by signal separation estimation theory. In addition, we consider the previous estimated results as the initial value, and a two-dimension search method is implemented in a small range for further improving the parameter estimation accuracy. Based on the estimated parameters, DME signal can be exactly reconstructed and then eliminated. It can be shown from the experiment results that the proposed method which keeps more useful signal has a better performance compared with the conventional ones.

show abstract

“…However, the weak power of GPS signal in the receiver varying from -130 to -110 dBm, make it vulnerable to the environmental interference [1]. The adaptive beam forming technique based on antenna array was the dominated method to mitigate the interference, which attracted a lot of researchers' attention in the past decades [2,3,4]. For continuous wave interferences (CWIs), [5] reported an anti-jamming system comprising cascaded CWI-detectable adaptive notch filter (ANF) modules, with each module able to mitigate one CWI.…”

Section: Introductionmentioning

confidence: 99%

Design and Experiment of Adaptive Anti-saturation and Anti-jamming Modules for GPS Receiver Based on 4-antenna Array

Zheng¹,

Lin²,

Liu³

et al. 2017

Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)

View full text Add to dashboard Cite

Abstract. Antenna array with adaptive beam forming technique is an effect way for GPS receiver to suppress the ambient interference, which, however, would be malfunctioning due to the saturation problem in radio frequency (RF) front or intermediate frequency (IF) front caused by the strong interference. To tackle it, this paper demonstrates a scenario consisting of two stages processing, i.e. two anti-saturation modules in RF-front and one anti-jamming module in IF front. The anti-saturation module based on two antennas, is realized with the RF phase shifter and amplifier and capable of forming a deep null in the direction of the strong interference, while the anti-jamming module employs the blind space time adaptive processing (STAP) algorithm to improve the anti-jamming capability. Compared to the RF-front beam former or the IF-front anti-jamming algorithm, not only can the proposed system achieve the anti-saturation and anti-jamming performance but also has more degrees of freedom to suppress interferences. The feasibility is proved by the experiment, exhibiting at least 21 dB anti-saturation improvement and nearly 60 dB interference mitigation.

show abstract

DME/TACAN interference mitigation for GNSS: algorithms and flight test results

Cited by 35 publications

References 9 publications

Urban area GNSS in‐car‐jammer localization based on pattern recognition

Urban area GNSS in‐car‐jammer localization based on pattern recognition

DME interference suppression algorithm based on signal separation estimation theory for civil aviation system

Design and Experiment of Adaptive Anti-saturation and Anti-jamming Modules for GPS Receiver Based on 4-antenna Array

Contact Info

Product

Resources

About