Performance of Antenna Array Calibration in Multipath Environments

Vagle, Niranjana; Broumandan, Ali; Jahromi, Ali Jafarnia

doi:10.33012/2016.13487

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…The multi-antenna GNSS signal simulator developed in [25] was used to generate multi-antenna signals with different types of interference. For the simulations, it was assumed that antenna elements are identical and there is no mutual coupling.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Multi-Antenna GNSS Receiver Performance under Jamming Attacks

Vagle

Broumandan

Lachapelle

2016

Sensors

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Although antenna array-based Global Navigation Satellite System (GNSS) receivers can be used to mitigate both narrowband and wideband electronic interference sources, measurement distortions induced by array processing methods are not suitable for high precision applications. The measurement distortions have an adverse effect on the carrier phase ambiguity resolution, affecting the navigation solution. Depending on the array attitude information availability and calibration parameters, different spatial processing methods can be implemented although they distort carrier phase measurements in some cases. This paper provides a detailed investigation of the effect of different array processing techniques on array-based GNSS receiver measurements and navigation performance. The main novelty of the paper is to provide a thorough analysis of array-based GNSS receivers employing different beamforming techniques from tracking to navigation solution. Two beamforming techniques, namely Power Minimization (PM) and Minimum Power Distortionless Response (MPDR), are being investigated. In the tracking domain, the carrier Doppler, Phase Lock Indicator (PLI), and Carrier-to-Noise Ratio (C/N0) are analyzed. Pseudorange and carrier phase measurement distortions and carrier phase position performance are also evaluated. Performance analyses results from simulated GNSS signals and field tests are provided.

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Section: Methodsmentioning

confidence: 99%

Analysis of Multi-Antenna GNSS Receiver Performance under Jamming Attacks

Vagle

Broumandan

Lachapelle

2016

Sensors

Self Cite

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“…Precise array signals are simulated using the simulation method outlined in [28]. The digital baseband samples are collected using a Spirent GSS 7700 simulator.…”

Section: Carrier Phase Distortion Analysismentioning

confidence: 99%

Millimetre Level Accuracy GNSS Positioning with the Blind Adaptive Beamforming Method in Interference Environments

Daneshmand

Marathe

2016

Sensors

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The use of antenna arrays in Global Navigation Satellite System (GNSS) applications is gaining significant attention due to its superior capability to suppress both narrowband and wideband interference. However, the phase distortions resulting from array processing may limit the applicability of these methods for high precision applications using carrier phase based positioning techniques. This paper studies the phase distortions occurring with the adaptive blind beamforming method in which satellite angle of arrival (AoA) information is not employed in the optimization problem. To cater to non-stationary interference scenarios, the array weights of the adaptive beamformer are continuously updated. The effects of these continuous updates on the tracking parameters of a GNSS receiver are analyzed. The second part of this paper focuses on reducing the phase distortions during the blind beamforming process in order to allow the receiver to perform carrier phase based positioning by applying a constraint on the structure of the array configuration and by compensating the array uncertainties. Limitations of the previous methods are studied and a new method is proposed that keeps the simplicity of the blind beamformer structure and, at the same time, reduces tracking degradations while achieving millimetre level positioning accuracy in interference environments. To verify the applicability of the proposed method and analyze the degradations, array signals corresponding to the GPS L1 band are generated using a combination of hardware and software simulators. Furthermore, the amount of degradation and performance of the proposed method under different conditions are evaluated based on Monte Carlo simulations.

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Adaptive blind anti-jamming algorithm using acquisition information to reduce the carrier phase bias

Jia

Wang

et al. 2018

GPS Solut

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Performance of Antenna Array Calibration in Multipath Environments

Cited by 3 publications

References 11 publications

Analysis of Multi-Antenna GNSS Receiver Performance under Jamming Attacks

Analysis of Multi-Antenna GNSS Receiver Performance under Jamming Attacks

Millimetre Level Accuracy GNSS Positioning with the Blind Adaptive Beamforming Method in Interference Environments

Adaptive blind anti-jamming algorithm using acquisition information to reduce the carrier phase bias

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