Real-time single-frequency GPS/BDS code multipath mitigation method based on C/N0 normalization

Wen, He; Pan, Shuguo; Gao, Wang; Zhao, Qing; Wang, Yunfeng

doi:10.1016/j.measurement.2020.108075

Cited by 12 publications

(4 citation statements)

References 29 publications

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“…Pseudorange residuals were used to measure the pseudorange measurement accuracy and evaluate pseudorange correction performance. The pseudorange residuals were calculated by equation (18) and measured by STD.…”

Section: Performance Metricsmentioning

confidence: 99%

“…For example, Shin et al introduced a new filtering algorithm with ionosphere correction and combined DGPS to provide 1 m accuracy [16]; Geng et al proposed a three-thresholds and single-difference Hatch filter algorithm and combined Kalman filter to achieve sub-meter positioning accuracy using Android raw GNSS measurements without external augmentation corrections [17]. Other pseudorange multipath error mitigation methods have also been proven to improve positioning accuracy [18][19][20]. Although some smoothing/correction algorithms greatly reduce the pseudorange error, they are prone to failure when raw measurement quality is challenging.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improving GNSS positioning performance of Android smart devices by a novel pseudorange correction method

Li¹,

Song²,

Li³

et al. 2023

Meas. Sci. Technol.

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To achieve high-precision GNSS positioning of smart devices, it is necessary to correct the pseudorange measurements, especially to reduce time-related errors. Traditional pseudorange smoothing methods fail to cope with measurement anomalies and do not consider the time correlation. Therefore, a time-correlated pseudorange correction (TCPC) method is proposed. The Mann-Kendall trend test and breakpoint detection are used to address data anomalies and pseudorange errors are estimated with an adaptive smoothing method. Using the proposed method, the GNSS receivers can improve the pseudorange accuracy and availability for better single-point positioning performance. The positioning errors are reduced by 10%−45% for different GNSS receivers. Moreover, the circular antenna motion mechanism is used to reduce the measurement correlation and enhance observability. Using the TCPC method in the smartphone antenna motion case, the improvement rates of positioning accuracies are 43%−76% and the horizontal positioning accuracy is improved from meter level to decimeter level.

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Section: Performance Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving GNSS positioning performance of Android smart devices by a novel pseudorange correction method

Li¹,

Song²,

Li³

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…[48] has achieved overall environment detection accuracy of 88.2% using a hidden Markov model and two features i.e., satellite availability and signal strength. However, the main thing common in all of the previous work is that they are relying on signal strength or its variants, satellite availability and DOP to characterize the environment but, the signal strength many not properly contribute to environment detection in case of multi-constellation, multi-frequency configuration because: (1) multipath/NLOS reception can significantly affect the strength of signals but the severity of affect vary in frequencies [26];…”

Section: An Improved Gnss Receiver Design Based On Adaptive Environment Navigation (Aen) Algorithmmentioning

confidence: 99%

“…In [22] and [23], some common techniques to mitigate multipath have been discussed based on: (1) de-weighting of affected measurements; (2) using dual-polarized antenna; (3) using the vector tracking loop; (4) navigation processor based techniques which applies a consistency check to pseudorange measurements. [24] has worked on reducing the exclusion of de-weighted measurements, [25] has used sidereal filtering to extract noisy carrier phase residuals whereas [26] has focused on elevation angle and C/N o to mitigate the multipath effects. [27], [28] have used dual polarized antenna for multipath mitigation and to improve the quality of po-sitioning.…”

Section: Introductionmentioning

confidence: 99%

Adaptive GNSS Receiver Design for Highly Dynamic Multipath Environments

et al. 2020

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Ubiquitous navigation requires timely, uninterrupted and accurate estimate of receiver's position at all times, in all environments and for all modes of transportation and it is highly dependent on satellite availability, geometry and accurate positioning estimation. However, the availability, continuity and accuracy of a GNSS can be severely affected in a highly dynamic environment due to blockage, fading and multipath. This results in positioning information inaccurate, unreliable and sometimes unavailable. This paper presents a study on the potential vulnerabilities that can affect a multi-constellation multi-frequency GNSS receiver in low to highly dynamic multipath environments such as clear line-of-sight, partially and highly obstructed environments to characterize the distortions/anomalies which could significantly affect the satellite signals and their impact on positioning and navigation. The multi-constellation multi-frequency GNSS receiver configuration in this paper is set to GPS, GLONASS, Galileo and BeiDou for the first time at full capacity and performance comparison is made with the GPS based on satellite availability, blockage, continuity, precision and accuracy parameters. These parameters are then used in this paper to detect and characterize the type of environment for the multi-constellation GNSS receiver without using any external aiding devices or sensors. Based on environment detection and characterization, a new Adaptive Environment Navigation (AEN) based GNSS receiver design is proposed which can work in real time and has achieved an overall availability and accuracy factor of 94% in highly dynamic multipath/NLOS environment along with a reduction in the blockage coefficient, β, by almost 11% resulting in more accuracy and precision than the standard multi-constellation GNSS receiver where the availability factor was found to be 57% only.

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