Channel modelling in complex urban environments for testing multipath mitigation methods enhanced by antenna array

2013 ◽  
Vol 22 (2-4) ◽  
pp. 111-123 ◽  
Author(s):  
M. Ait-Ighil ◽  
S. Rougerie ◽  
J. Lemorton ◽  
G. Carrie ◽  
G. Artaud ◽  
...  
Keyword(s):  
Antenna Array ◽  
Urban Environments ◽  
Multipath Mitigation ◽  
Channel Modelling ◽  
Mitigation Methods

scholarly journals Multipath mitigation and NLOS detection using vector tracking in urban environments

GPS Solutions ◽  
2014 ◽  
Vol 19 (2) ◽  
pp. 249-262 ◽  
Author(s):  
Li-Ta Hsu ◽  
Shau-Shiun Jan ◽  
Paul D. Groves ◽  
Nobuaki Kubo
Keyword(s):  
Urban Environments ◽  
Multipath Mitigation ◽  
Vector Tracking

Comparative Studies of GPS Multipath Mitigation Methods Performance

2013 ◽  
Vol 49 (3) ◽  
pp. 1555-1568 ◽  
Author(s):  
Xin Chen ◽  
Fabio Dovis ◽  
Senlin Peng ◽  
Yu Morton
Keyword(s):  
Comparative Studies ◽  
Multipath Mitigation ◽  
Mitigation Methods

scholarly journals Spoofing Detection and Mitigation in a Multi-correlator GPS Receiver Based on the Maximum Likelihood Principle

Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 37 ◽  
Author(s):  
Yanbing Guo ◽  
Lingjuan Miao ◽  
Xi Zhang
Keyword(s):  
Maximum Likelihood ◽  
Intermediate Frequency ◽  
Gps Receiver ◽  
Multipath Mitigation ◽  
Likelihood Principle ◽  
Ml Estimation ◽  
Maximum Likelihood Principle ◽  
Spoofing Detection ◽  
Mitigation Methods ◽  
Novel Algorithm

As a structural interference, spoofing is difficult to detect by the target receiver while the advent of a repeater makes the implementation of spoofing much easier. Most existing anti-spoofing methods are merely capable of detecting the spoofing, i.e., they cannot effectively remove counterfeit signals. Therefore, based on the similarities between multipath and spoofing, the feasibility of applying multipath mitigation methods to anti-spoofing is first analyzed in this paper. We then propose a novel algorithm based on maximum likelihood (ML) estimation to resolve this problem. The tracking channels with multi-correlators are constructed and a set of corresponding steps of detecting and removing the counterfeit signals is designed to ensure that the receiver locks the authentic signals in the presence of spoofing. Finally, the spoofing is successfully executed with a software receiver and the saved intermediate frequency (IF) signals, on this basis, the effectiveness of the proposed algorithm is verified by experiments.

GNSS Multipath Mitigation with a Moving Antenna Array

2013 ◽  
Vol 49 (1) ◽  
pp. 693-698 ◽  
Author(s):  
S. Daneshmand ◽  
A. Broumandan ◽  
N. Sokhandan ◽  
G. Lachapelle
Keyword(s):  
Antenna Array ◽  
Multipath Mitigation

Antenna array multipath mitigation method in navigation augmentation system

2011 ◽  
Vol 41 (5) ◽  
pp. 673-680
Author(s):  
Gang OU ◽  
Li SUN ◽  
Zhi CHAI ◽  
LiXun LI ◽  
Li ZHOU
Keyword(s):  
Antenna Array ◽  
Multipath Mitigation

scholarly journals Multipath modeling and mitigation by using sparse estimation in global navigation satellite system-challenged urban vehicular environments

2020 ◽  
Vol 17 (5) ◽  
pp. 172988142096869
Author(s):  
Yue Yuan ◽  
Feng Shen ◽  
Dingjie Xu
Keyword(s):  
Global Navigation Satellite System ◽  
Satellite System ◽  
Urban Environments ◽  
Navigation Satellite ◽  
Multipath Mitigation ◽  
Sparse Estimation ◽  
Positioning Errors ◽  
Net Method ◽  
Global Navigation ◽  
Global Navigation Satellite

Multipath interference has been one of the most difficult problems when using global navigation satellite system-based vehicular navigation in urban environments. In this article, we develop a multipath mitigation algorithm exploiting the sparse estimation theory that improves the absolute positioning accuracy in urban environments. The navigation observation model is established by considering the multipath bias as additive positioning errors, and the assumption for the proposed method is that global navigation satellite system signals contaminated due to multipath are the minority among the received signals, which makes the unknown bias vector sparse. We investigated an improved elastic net method to estimate the sparse multipath bias vector, and the global navigation satellite system measurements can be corrected by subtracting the estimated multipath error. The positioning performance of the proposed method is verified by analytical and experimental results.

Antenna array based framework with multipath mitigation for signal emitter detection and localization

2017 ◽  
Author(s):  
Joao Paulo A. Maranhao ◽  
Joao Paulo C. L. da Costa ◽  
Rafael T. de Sousa ◽  
Adoniran Judson de Barros Braga ◽  
Giovanni Del Galdo
Keyword(s):  
Antenna Array ◽  
Multipath Mitigation ◽  
Detection And Localization
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