Suppression of multipath and jamming signals by digital beamforming for GPS/Galileo applications

Fu, Zhe; Hornbostel, A.; Hammesfahr, J.; Konovaltsev, Andriy

doi:10.1007/s10291-002-0042-2

Cited by 34 publications

(21 citation statements)

References 6 publications

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“…The antenna improvement methods mainly include the patch elements placed on choke rings [1], the multipath estimating delay-locked loop [2,3] and a "narrow correlator" delay-locked loop [4], which can only partially eliminate multipath error. Antenna-related improvements also include array antennas [5][6][7][8][9][10] and dual-polarized antenna techniques [11][12][13]. The above methods effectively suppress the multipath effect, but increase the hardware cost.…”

Section: Introductionmentioning

confidence: 99%

An Advanced Multipath Mitigation Method Based on Trend Surface Analysis

et al. 2020

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Among various ways to eliminate the multipath effect in high-precision global navigation satellite system positioning, the multipath hemispherical map (MHM) is a typical multipath correction method based on spatial domain repeatability, which is suitable for not only static environments, but also some dynamic carriers, such as ships and aircraft. So, it has notable advantages and is widely used. The MHM method divides the sky into grids according to the azimuth and elevation angles of satellite, and calculates the average of the residuals within the grid points as its multipath calibration value. It is easy to implement, but it will inevitably lead to excessive or insufficient multipath correction in the grid. The trend surface analysis-based multipath hemispherical map (T-MHM) method makes up for this deficiency by performing trend surface analysis on the multipath spatial changes within the grid points. However, the effectiveness of T-MHM is limited and less capable of resisting noise interference due to the multicollinearity between the independent variables caused by the special spatial distribution of multipath sampling and the overfitting problem caused by ignoring the multipath anisotropy. Thus, we proposed an improved multipath elimination method named AT-MHM (advanced trend surface analysis-based multipath hemispherical model), which cautiously judges the occurrence of the above problems and gives corresponding solutions. This was extended to double-difference mode, which expands the scope of application. The performance of AT-MHM in GPS pseudorange multipath mitigation was verified on geodetic receiver and low-cost receiver in a strong multipath environment with high occlusion.

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Section: Introductionmentioning

confidence: 99%

An Advanced Multipath Mitigation Method Based on Trend Surface Analysis

et al. 2020

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“…In such critical applications, it is important that the GNSS receiver fulfills a minimum level of reliability and robustness, even at the cost of increased price and complexity . To meet this need, receiver manufacturers and research institutions have been developing GNSS receivers equipped with anti‐jamming capabilities …”

Section: Introductionmentioning

confidence: 99%

Interference mitigation using a dual‐polarized antenna array in a real environment

et al. 2019

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This paper presents a new approach to interference mitigation. We propose to equip a Global Navigation Satellite System (GNSS) receiver with a diversely polarized antenna array in order to combine signal processing in the spatial and polarization domains in a novel way. The new algorithm is evaluated using measurement data, and results show significant improvement in receiver robustness against interferences when the dual-polarization approach is used.Two specific benefits come to light. First, the carrier-to-noise-density ratios of the line-of-sight components are improved since the receiver can make use of the power present on the left-hand circularly polarized (LHCP) channels because of non-ideal polarization purity of the antenna, resulting in better receiver computed position, velocity, and time (PVT) solutions. Second, interference mitigation becomes more effective because of the possibility of filtering in the polarization domain and the additional number of available degrees of freedom, increasing receiver robustness and enabling tracking and PVT in severe interference scenarios.

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“…However, performance of these beamforming techniques degrades in multipath interference because there is a high degree of correlation between desired and multipath signals (Van Trees 2002). The effectiveness of antenna arrays to mitigate multipath interference has been studied through different robust beamforming techniques in GNSS applications (Brown 2000;Fu et al 2003;Seco-Granados et al 2005;Sahmoudi and Amin 2007;Konovaltsev et al 2007;Vicario et al 2010;Fern'andez-Prades et al 2011;Daneshmand et al 2013a;Manosas-Caballu et al 2013;Rougerie et al 2011;Rougerie et al 2012;Lee and Hsiao 2008). Sahmoudi and Amin (2007) used adaptive beamforming and high resolution direction finding methods to improve robustness against multipath and electronic interference.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of GNSS multipath mitigation using antenna arrays

Vagle

Broumandan

Jafarnia-Jahromi

2016

J. Glob. Position. Syst.

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Multipath affects the shape of the correlation function and results in biased pseudorange measurements and erroneous navigation solutions. Antenna array processing, which uses signal spatial characteristics, is an effective method to mitigate various types of interference signals. However, the performance of most of the distortionless beamforming techniques degrades in multipath conditions due to the correlation between the desired Line of Sight (LOS) signal and multipath signals. This paper characterizes the performance of different beamforming techniques to mitigate multipath signals through the processing and analysis of simulated and actual data. The main novelty is the investigation of multipath mitigation performance of practically realizable antenna array-based GNSS receivers when the beamforming process is completely integrated into the tracking module after de-spreading. Beamforming techniques such as Delay And Sum (DAS) beamforming, Minimum Power Distortionless Response (MPDR) with and without spatial smoothing are considered. A novel multi-antenna simulator test-bed is developed to generate multipath signals for a multi-antenna platform. A software multi-antenna GPS receiver incorporating different beamforming techniques is then developed to generate pseudorange measurements and position solutions. Carrier-to-Noise ratio (C/N 0 ), pseudorange errors and position solutions before and after beamforming are compared to show the effectiveness of different beamforming techniques to mitigate multipath. Results with simulated and actual GPS signals show improved performance using the MPDR beamformer with spatial smoothing. The utilization of spatial processing results in a pseudorange error reduction of up to 60 % and a position error reduction of up to 30 %.

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Suppression of multipath and jamming signals by digital beamforming for GPS/Galileo applications

Cited by 34 publications

References 6 publications

An Advanced Multipath Mitigation Method Based on Trend Surface Analysis

An Advanced Multipath Mitigation Method Based on Trend Surface Analysis

Interference mitigation using a dual‐polarized antenna array in a real environment

Performance analysis of GNSS multipath mitigation using antenna arrays

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