Correlation Analysis of Multipath Effects in GPS-Code and Carrier Phase Observations

Nahavandchi, Hossein; Joodaki, Gholamreza

doi:10.1179/003962610x12572516251808

Cited by 7 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The correlation behavior of GNSS phase measurements is affected by both multipath effects (Nahavandchi and Joodaki 2010) and prevailing atmospheric conditions (Schön and Brunner 2008b). Multipath, in particular the long-periodic and non-zero mean near-field component, significantly disturbs the distributional properties of the observables.…”

Section: Discussionmentioning

confidence: 99%

On the probability distribution of GNSS carrier phase observations

2010

View full text Add to dashboard Cite

When processing observational data from global navigation satellite systems (GNSS), the carrier phase measurements are generally assumed to follow a normal distribution. Although full knowledge of the probability distribution of the observables is not required for parameter estimation, for example when using the least-squares method, the distributional properties of GNSS observations play a key role in quality control procedures, such as outlier and cycle-slip detection, in ambiguity resolution, as well as in the reliability assessment of estimation results. In addition, when applying GNSS positioning under critical observation conditions with respect to multipath and atmospheric effects, the validity of the normal distribution assumption of GNSS observables certainly comes into doubt. This paper illustrates the discrepancies between the normal distribution assumption and reality, based on a large and representative data set of GPS phase measurements covering a range of factors, including multipath impact, baseline length, and atmospheric conditions. The statistical inferences are made using the first through fourth sample moments, hypothesis tests, and graphical tools such as histograms and quantile-quantile plots. The results show clearly that multipath effects, in particular the near-field component, produce the dominant influence on the distributional characteristics of GNSS observables. Additionally, using surface meteorological data, considerable correlations between distributional deviations from normality on the one hand and atmospheric relative humidity on the other are detected.

show abstract

Section: Discussionmentioning

confidence: 99%

On the probability distribution of GNSS carrier phase observations

2010

View full text Add to dashboard Cite

show abstract

“…w c is the weight at the elevation cut-off angle (Eq. ( 5)) In previous studies, the multipath effects are often modelled based on the first-order Gauss-Markov process (Nahavandchi and Joodaki 2010;Montloin et al 2013;Khanafseh et al 2018). The actual multipath behaviours, however, are highly dependent on the local measurement environment (King and Watson 2010).…”

Section: Biases In Rtkmentioning

confidence: 99%

Effect of biases in integrity monitoring for RTK positioning

Wang

El‐Mowafy

2021

Advances in Space Research

View full text Add to dashboard Cite

“…The signal transmitted by the satellite, taking multiple paths, affects both the pseudorange and carrier phase measurements [5]. But the effect of multipath on pseudorange is much higher than the carrier phase [6,7].…”

Section: Introductionmentioning

confidence: 99%

GPS Signal Multipath Error Mitigation Technique

Bidikar¹,

Chapa²,

Kumar³

et al. 2020

Satellites Missions and Technologies for Geosciences

View full text Add to dashboard Cite

The performance of GPS receiver depends on the accuracy of the range measurements. The predominant errors in range measurements are due to propagation path delays, making the measured range longer than it would be, if the signal has not reflected or refracted while propagating. In this chapter, an algorithm is proposed to mitigate the multipath error on the pseudorange measured from L1 carrier frequency. The error is estimated considering the linear combination of the GPS measurements and carrier frequencies of L band, viz. L1 and L2. This algorithm exploits the random nature of the multipath error and it avoids complex calculations involving sensitive parameter like reflection coefficient of the nearby reflectors. The multipath error is mitigated for standalone GPS receiver located in Indian subcontinent. Implementation of the algorithm shows pseudorange error due to multipath varied from 7 to 52 m, where the signals of low elevation satellites are most affected. GPS receiver position is calculated by considering multipath error corrected pseudoranges of all the visible satellites. This resulted in maximum error reduction of 30 m in receiver position estimates. This mitigation technique will be useful in selecting the site for GPS receiving antenna, where reflection coefficients are difficult to measure.

show abstract

Correlation Analysis of Multipath Effects in GPS-Code and Carrier Phase Observations

Cited by 7 publications

References 1 publication

On the probability distribution of GNSS carrier phase observations

On the probability distribution of GNSS carrier phase observations

Effect of biases in integrity monitoring for RTK positioning

GPS Signal Multipath Error Mitigation Technique

Contact Info

Product

Resources

About