13th International IEEE Conference on Intelligent Transportation Systems 2010
DOI: 10.1109/itsc.2010.5625065
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Advanced signal processing techniques for multipath mitigation in land transportation environment

Abstract: International audienceGNSS (Global Navigation Satellite Systems) are today the core of all new ITS applications and require increasing accuracy in particular in dense urban areas where complex localization scenarios become more and more frequent as the number of users evolves. In order to reduce inaccuracy caused by the obstacles around the receiver's antenna, a solution lies in developing new filtering algorithms. These algorithms will take into account both the variation of the noise distribution over time a… Show more

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Cited by 3 publications
(4 citation statements)
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“…• Modified receiver processing strategies -describes approaches were the receiver architectures is modified in order to achieve better signal processing aspects: [59], [60], [61], [62], [63], [64], [65], [66], [67], [68].…”
Section: Identificationmentioning
confidence: 99%
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“…• Modified receiver processing strategies -describes approaches were the receiver architectures is modified in order to achieve better signal processing aspects: [59], [60], [61], [62], [63], [64], [65], [66], [67], [68].…”
Section: Identificationmentioning
confidence: 99%
“…Thus, building boundary data, digital terrain models and building models were used. [8], [14], [33], [50], [80], [98], [99] [4], [14], [30], [33], [35], [92], [47], [48], [50], [51], [58], [67], [68], [70], [74], [81], [82], [83], [85] Via person [18], [22] [43], [49], [66], [71] (No information) [28], [29], [31], [32], [34], [37], [73], [84], [86], [87], [88] Simulation Static measurement…”
Section: Recent Solutions For Positioning Under Nlos Conditionsmentioning
confidence: 99%
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“…More advanced techniques for multipath mitigation have recently been proposed. For example, Marais et al (2010) discusses the implementation of Jump Markov System (JMS) where the state of the multipath induced error at a GNSS receiver could be known a priori using a Markov model chain. In a closed simulation environment, JMS algorithm was shown to have a lower error rate and an increased accuracy in GNSS localization applications.…”
Section: Statistical Filteringmentioning
confidence: 99%