DocumentCode :
1286675
Title :
Iterative altitude-aiding algorithm for improved GNSS positioning
Author :
Rao, Madhav ; Lo Presti, Letizia ; Samson, Jonathan
Author_Institution :
DIEET, Univ. degli Studi di Palermo, Palermo, Italy
Volume :
5
Issue :
7
fYear :
2011
fDate :
8/1/2011 12:00:00 AM
Firstpage :
788
Lastpage :
795
Abstract :
The system proposed in this study relies on a WAVE P2P network, which is a proper standard to fit the vehicular environment wireless communications requests. Starting from the chance to exchange information given by this infrastructure, the possibility to improve the performance of a global navigation satellite system (GNSS) receiver based on a Kalman filter is considered. This improvement is obtained exploiting the external altitude measurements provided by other peers in the network, equipped with GNSS receivers. The topic of an altitude-aided system has been described in a previous work, that highlighted the need for a parameter that points out the effectiveness and the consistency of the computed aiding measurement, namely the altitude-aiding reliability index. A detailed analysis of this reliability index led to the development of an iterative algorithm to be used in the presence of three satellites and of a biased aiding, in order to overcome the issues related to this peculiar scenario, which is the main result of this work.
Keywords :
Kalman filters; iterative methods; peer-to-peer computing; satellite navigation; GNSS positioning; Kalman filter; WAVE P2P network; altitude-aided system; computed aiding measurement; global navigation satellite system; information exchange; iterative algorithm; iterative altitude-aiding algorithm; vehicular environment wireless communications;
fLanguage :
English
Journal_Title :
Radar, Sonar & Navigation, IET
Publisher :
iet
ISSN :
1751-8784
Type :
jour
DOI :
10.1049/iet-rsn.2010.0187
Filename :
5968008
Link To Document :
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