An Open-Loop Receiver Architecture for Monitoring of Ionospheric Scintillations by Means of GNSS Signals

Linty, Nicola; Dovis, Fabio

doi:10.3390/app9122482

Cited by 14 publications

(7 citation statements)

References 31 publications

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“…An open‐loop approach was proposed in Romero et al. (2016) and Linty and Dovis (2019); a metric alternative to the

S_{4}

was suggested to detect amplitude scintillation, based on the evaluation of the statistical properties of the histogram of the received samples. Different techniques were evaluated, such as skewness and goodness of fit, obtaining high detection, low false alarm, and low missed detection rates when compared to the

S_{4}

‐based thresholding.…”

Section: Scintillation Detectionmentioning

confidence: 99%

Survey on signal processing for GNSS under ionospheric scintillation: Detection, monitoring, and mitigation

et al. 2020

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Ionospheric scintillation is the physical phenomena affecting radio waves coming from the space through the ionosphere. Such disturbance is caused by ionospheric electron‐density irregularities and is a major threat in Global Navigation Satellite Systems (GNSS). From a signal‐processing perspective, scintillation is one of the most challenging propagation scenarios, particularly affecting high‐precision GNSS receivers and safety critical applications where accuracy, availability, continuity, and integrity are mandatory. Under scintillation, GNSS signals are affected by amplitude and phase variations, which mainly compromise the synchronization stage of the receiver. To counteract these effects, one must resort to advanced signal‐processing techniques such as adaptive/robust methods, machine learning, or parameter estimation. This contribution reviews the signal‐processing landscape in GNSS receivers, with emphasis on different detection, monitoring, and mitigation problems. New results using real data are provided to support the discussion. To conclude, future perspectives of interest to the GNSS community are discussed.

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“…An open‐loop approach was proposed in Romero et al. (2016) and Linty and Dovis (2019); a metric alternative to the

S_{4}

S_{4}

‐based thresholding.…”

Section: Scintillation Detectionmentioning

confidence: 99%

Survey on signal processing for GNSS under ionospheric scintillation: Detection, monitoring, and mitigation

et al. 2020

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“…Additionally, scientists have been trying to provide novel methods to measure the impact of ionosphere on GNSS measurements. Despite being one of the major sources of error affecting high-accuracy GNSS applications, ionospheric scintillations are an important tool to study the behavior of this layer of the atmosphere [38].…”

Section: Use Of Gnss Carrier Phase Observations In Various Fields Of mentioning

confidence: 99%

Assessment of Static Positioning Accuracy Using Low-Cost Smartphone GPS Devices for Geodetic Survey Points’ Determination and Monitoring

Uradziński

Bakuła

2020

Applied Sciences

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Recent developments enable to access raw Global Navigation Satellite System (GNSS) measurements of mobile phones. Initially, researchers using signals gathered by mobile phones for high accuracy surveying were not successful in ambiguity fixing. Nowadays, GNSS chips, which are built in the latest smartphones, deliver code and primarily carrier phase observations available for detailed analysis in post-processing applications. Therefore, we decided to check the performance of carrier phase ambiguity fixing and positioning accuracy results of the latest Huawei P30 pro smartphone equipped with a dual-frequency GNSS receiver. We collected 3 h of raw static data in separate sessions at a known point location. For two sessions, the mobile phone was mounted vertically and for the third one—horizontally. At the same time, a high-class geodetic receiver was used for L1 and L5 signal comparison purposes. The carrier phase measurements were processed using commercial post-processing software with reference to the closest base station observations located 4 km away. Additionally, 1 h sessions were divided into 10, 15, 20 and 30 min separate sub-sessions to check the accuracy of the surveying results in fast static mode. According to the post-processing results, we were able to fix all L1 ambiguities based on Global Positioning System (GPS)-only satellite constellation. In comparison to the fixed reference point position, all three 1 h static session results were at centimeters level of accuracy (1–4 cm). For fast static surveying mode, the best results were obtained for 20 and 30 min sessions, where average accuracy was also at centimeters level.

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“…Several researchers have recently studied a vector tracking loop (VTL) [7][8][9][10][11], such as a vector delay lock loop (VDLL) and a vector frequency lock loop (VFLL), and the combination of both, called VDFLL, to obtain an improved tracking performance in GPS receiver. Vector tracking loops integrate the tracking loops and navigation processor, such that each tracking loop update is also based on information from other tracking loops.…”

Section: Introductionmentioning

confidence: 99%

Continuous Tracking of GPS Signals with Data Wipe-Off Method

Jwo¹,

Lee²

2022

Computers, Materials &Amp; Continua

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The decentralized pre-filter based vector tracking loop (VTL) configuration with data wipe-off (DWO) method of the Global Positioning System (GPS) receiver is proposed for performance enhancement. It is a challenging task to continuously track the satellites' signals in weak signal environment for the GPS receiver. VTL is a very attractive technique as it can provide tracking capability in signal-challenged environments. In the VTL, each channel will not form a loop independently. On the contrary, the signals in the channels of VTL are shared with each other; the navigation processor in turn predicts the code phases. Thus, the receiver can successfully track signals even the signal strength from individual satellite is weak. The tracking loop based on the pre-filter provides more flexible adjustment to specific environments to reduce noise interference. Therefore, even if the signals from some satellites are very weak the receiver can track them from the navigation results based on the other satellites. The navigation data, which contains information necessary to perform navigation computations, are binary phase-shift keying (BPSK) modulated onto the GPS carrier phase with the bit duration of 20 ms (i.e., 50 bits per second) for the GPS L 1 C/A signals. The coherent integration interval can be extended for improved tracking performance in signal-challenged environment. However, tracking accuracy is decreased by possible data bit sign reversal. The DWO algorithm can be employed to remove the data bit in I and Q correlation values so as to avoid energy loss due to bit transitions when the integration interval of the correlator is extended over 20 ms under the low carrier-to-noise ratio (C/No) environments. The proposed method has an advantage to provide continuous tracking of signals and obtain improved navigation performance. Performance evaluation of the tracking capability as well as positioning accuracy will be presented.

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An Open-Loop Receiver Architecture for Monitoring of Ionospheric Scintillations by Means of GNSS Signals

Cited by 14 publications

References 31 publications

Survey on signal processing for GNSS under ionospheric scintillation: Detection, monitoring, and mitigation

Survey on signal processing for GNSS under ionospheric scintillation: Detection, monitoring, and mitigation

Assessment of Static Positioning Accuracy Using Low-Cost Smartphone GPS Devices for Geodetic Survey Points’ Determination and Monitoring

Continuous Tracking of GPS Signals with Data Wipe-Off Method

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