2016
DOI: 10.1016/j.sigpro.2015.06.021
|View full text |Cite
|
Sign up to set email alerts
|

Detecting, estimating and correcting multipath biases affecting GNSS signals using a marginalized likelihood ratio-based method

Abstract: Calmettes. Detecting, estimating and correcting multipath biases affecting GNSS signals using a marginalized likelihood ratio-based method. Signal Processing, Elsevier, 2016, vol. 118, pp. 221-234 a b s t r a c tIn urban canyons, non-line-of-sight (NLOS) multipath interferences affect position estimation based on global navigation satellite systems (GNSS). This paper proposes to model the effects of NLOS multipath interferences as mean value jumps contaminating the GNSS pseudo-range measurements. The marginal… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
18
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
3
3
1

Relationship

0
7

Authors

Journals

citations
Cited by 24 publications
(18 citation statements)
references
References 24 publications
(34 reference statements)
0
18
0
Order By: Relevance
“…The Pade approximation is one very useful method for modeling time‐delay effects in continuous‐time systems from Laplace S‐transform domain. This approach simulates time delays like transport and computation delays by rational LTI (“linear Time Invariant”) models [1,6]. Normally, the most commonly transform functions of interest to us, and also easily to be implemented, are the rational functions, one of which is characterized by its N ‐order numerator and its N ‐order denominator, both polynomials of Laplace variable s , H(s)=N(s)D(s)=n=0Nβnsnn=0Nαnsn …”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The Pade approximation is one very useful method for modeling time‐delay effects in continuous‐time systems from Laplace S‐transform domain. This approach simulates time delays like transport and computation delays by rational LTI (“linear Time Invariant”) models [1,6]. Normally, the most commonly transform functions of interest to us, and also easily to be implemented, are the rational functions, one of which is characterized by its N ‐order numerator and its N ‐order denominator, both polynomials of Laplace variable s , H(s)=N(s)D(s)=n=0Nβnsnn=0Nαnsn …”
Section: Methodsmentioning
confidence: 99%
“…Generalizations of convolution have been employed in a wide range of applications in science and engineering. Pade approximation is one most commonly used approach to estimate time delays by rational LTI (“linear Time Invariant”) models [1,6]. Normally, the most commonly transform functions of interest to us, and also easily to be implemented, are the rational functions.…”
Section: Introductionmentioning
confidence: 99%
“…Alternatively, the multipath can be mitigated at the software level of the receiver either in acquisition or in tracking loops. As the GNSS receiver has to track the direct signal contaminated by delayed reflections, several multipath mitigation methods based on the narrow correlator Delay Lock Loop (DLL) were listed in [12]. They include the strobe correlator [13], the early-late-slope technique [14], the double-delta correlator [15] and the multipath intensive delay lock loop [16].…”
Section: A Gnss Multipath Detection and Mitigationmentioning
confidence: 99%
“…In the case of Non-Line-of-Sight (NLOS) effect, multipath can be hardly mitigated by these approaches. To overcome these limits, [12] proposes to use a Generalized Likelihood Ratio Test (GLRT) [19] and also a Marginalized Likelihood Ratio Test (MLRT) [20], for fault detection and diagnosis.…”
Section: A Gnss Multipath Detection and Mitigationmentioning
confidence: 99%
“…Consistency-checking techniques [6] can identify and eliminate NLOS signals when most of the other received signals are LOS signal with minimal multipath interference. The marginalized likelihood ratio test (MLRT) is used to detect, identify, and estimate the corresponding NLOS signal [7]. The NLOS signal can be detected and mitigated by judging measurement of more satellites using Receiver Autonomous Integrity Monitoring (RAIM) [8].…”
Section: Introductionmentioning
confidence: 99%