Corpus ID: 5720561

Pseudorange Multipath Mitigation By Means of Multipath Monitoring and De-Weighting

@inproceedings{Bisnath2001PseudorangeMM,
  title={Pseudorange Multipath Mitigation By Means of Multipath Monitoring and De-Weighting},
  author={Sunil Bisnath and Richard B. Langley},
  year={2001}
}
The management of pseudorange multipath in GPS software processing ranges from total ignorance of the phenomenon to complex schemes for the estimation of the multipath signal. The former can cause significant parameter estimation degradation and the latter cannot necessarily provide accurate estimates. Therefore an alternative method is proposed here, which includes endeavouring to monitor the multipath signal and deweight the affected observations based on a sentinel observable. The objectives… Expand
gauss.gge.unb.ca
22 Citations
Background Citations
6
Methods Citations
3

22 Citations

Citation Type

Citation Type

Reduction of PPP convergence period through pseudorange multipath and noise mitigation
Pseudorange multipath and pseudorange noise are the largest remaining unmanaged error sources in PPP. It is proposed that by reducing the effects of multipath and noise on the pseudorange observable,… Expand
Single Frequency Multipath Mitigation Based On Wavelet Analysis
Multipath is still one of the major error sources that degrades the accuracy of GPS positioning. The amount of multipath is highly dependent on the antenna's environment, which makes it difficult to… Expand
A Statistical Multipath Detector for Antenna Array Based GNSS Receivers
TLDR
A statistical multipath detector based on an antenna array GNSS receiver that resorts to the estimated noise covariance matrix to compute a statistic that measures the dispersion of its eigenvalues, with the resulting detector being Constant False Alarm Rate. Expand
Constant False Alarm Rate Multipath Detector for Multiple Antenna based GNSS Receivers
TLDR
The multipath detection method proposed in this paper, targeted at multiple antenna GNSS receivers, is based on the relation between the arithmetic and the geometric means of the covariance matrix eigenvalues, and allows to set detection thresholds independently of the incoming noise power by adjusting the false alarm probability. Expand
Channelwise Multipath Detection for General GPS Receivers
Since multipath phenomenon frequently occurs when a Global Positioning System receiver is placed in urban area crowded with large buildings, efficient mitigation of multipath effects is necessary to… Expand
Reduction of Precise Point Positioning Convergence Period
TLDR
It is proposed that by reducing the effects of multipath and noise on the pseudorange observable, accurate estimates of carrierphase float ambiguities will be attained sooner, thus reducing the convergence period of PPP. Expand
GPS multipath detection based on sequence of successive-time double-differences
TLDR
The proposed channelwise test statistic is particularly efficient in multipath detection and operationally advantageous: it requires only basic observables, it requires no precomputation of receiver position, it has standard /spl chi//sup 2/-distributions, and it can reduce the detection resolution by increasing the number of successive measurements. Expand
Multipath mitigation of GNSS carrier phase signals for an on-board unit for mobility pricing
TLDR
Three ways in which a digital signal processor added to a stationary, navigation-grade receiver can add considerable accuracy to an urban multipath conditions for a parking meter are identified. Expand
Robust Positioning in the Presence of Multipath and NLOS GNSS Signals
TLDR
Nonline-of-sight (NLOS) reception occurs when the direct path from the transmitter to the receiver is blocked and signals are received only via a reflected path, while multipath interference occurs when a signal is received via multiple paths. Expand
Galileo E1/E5 Measurement Monitoring - Theory, Testing and Analysis
TLDR
A new Geometry-Free (GF) detection metric is presented for reliable multipath mitigation and a detection procedure is performed based on a combination of time-averaging of monitoring metrics and M of N detection strategy. Expand
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