A precorrelation DiLL scheme based on antenna array for GNSS receivers

Author(s):  
Shumin Huo ◽  
Sihui Liu ◽  
Feiqiang Chen ◽  
Junwei Nie ◽  
Feixue Wang
Keyword(s):  
2020 ◽  
Vol 101 ◽  
pp. 102715 ◽  
Author(s):  
Daniel Valle de Lima ◽  
Mateus da Rosa Zanatta ◽  
João Paulo C.L. da Costa ◽  
Rafael T. de Sousa Jr. ◽  
Martin Haardt

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Yuchen Xie ◽  
Zhengrong Li ◽  
Feiqiang Chen ◽  
Huaming Chen ◽  
Feixue Wang

The antenna array technology, especially the spaced-time array processing (STAP), is one of the effective methods used in Global Navigation Satellite System (GNSS) receivers to refrain the power of jamming and enhance the performance of receivers in the circumstance of interference. However, biases induced to the receiver because of many reasons, including characteristic of antennas, front-end channel electronics, and space-time filtering, are extremely harmful to the high precise positioning of receivers. Although plenty of works have been done to calibrate the antenna and to mitigate these biases, achieving a good performance of antijamming, high accuracy, and low complexity at the same time still remains challenging. Different from existing works, this paper leverages the characteristic of GNSS signal’s Doppler frequency in STAP, which is proven to remain unbiased to solve the problem, even when the nonideal antennas are used and the interference circumstance changes. Since the integration of frequency is carrier phase, the unbiased Doppler frequency leads to an accurate estimation of carrier phase which can be used to calibrate the antenna array without extra apparatus or complicating algorithms. Therefore, a simple Doppler-aid strategy may be developed in the future to solve the difficulty of STAP bias mitigation.


Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2411 ◽  
Author(s):  
Jaroslaw Magiera

This article presents a method for detecting and mitigating intermediate GNSS spoofing. In this type of attack, at its early stage, a spoofer transmits counterfeit signals which have slight time offsets compared to true signals arriving from satellites. The anti-spoofing method proposed in this article fuses antenna array processing techniques with a multipath detection algorithm. The latter is necessary to separate highly correlated true and counterfeit GNSS signals. Spoofing detection is based on comparison of steering vectors related to received spatial components. Whereas mitigation is achieved by means of adaptive beamforming which excises interferences arriving from common direction and preserves undistorted signals from GNSS satellites. Performance of proposed method is evaluated through simulations, results of which prove the usefulness of this method for protecting GNSS receivers from intermediate spoofing interference.


Author(s):  
Giovanni A. Santos ◽  
Joao Paulo C. L. da Costa ◽  
Daniel V. de Lima ◽  
Mateus da R. Zanatta ◽  
Bruno J. G. Praciano ◽  
...  

2008 ◽  
Vol 7 ◽  
pp. 592-595 ◽  
Author(s):  
J.A. Kasemodel ◽  
C.-C. Chen ◽  
I.J. Gupta ◽  
J.L. Volakis

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 929
Author(s):  
Yuqing Zhao ◽  
Feng Shen ◽  
Guanghui Xu ◽  
Guochen Wang

The presence of spoofing signals poses a significant threat to global navigation satellite system (GNSS)-based positioning applications, as it could cause a malfunction of the positioning service. Therefore, the main objective of this paper is to present a spatial-temporal technique that enables GNSS receivers to reliably detect and suppress spoofing. The technique, which is based on antenna array, can be divided into two consecutive stages. In the first stage, an improved eigen space spectrum is constructed for direction of arrival (DOA) estimation. To this end, a signal preprocessing scheme is provided to solve the signal model mismatch in the DOA estimation for navigation signals. In the second stage, we design an optimization problem for power estimation with the estimated DOA as support information. After that, the spoofing detection is achieved by combining power comparison and cross-correlation monitoring. Finally, we enhance the genuine signals by beamforming while the subspace oblique projection is used to suppress spoofing. The proposed technique does not depend on external hardware and can be readily implemented on raw digital baseband signal before the despreading of GNSS receivers. Crucially, the low-power spoofing attack and multipath can be distinguished and mitigated by this technique. The estimated DOA and power are both beneficial for subsequent spoofing localization. The simulation results demonstrate the effectiveness of our method.


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