Robust Multipath Detection by Intra- and Inter-Domain Fusion with Real-Time Capability

Artem Gostishchev, Friederike Fohlmeister, Andriy Konovaltsev

Abstract: This paper presents a domain fusion method for robust multipath detection in global navigation satellite systems (GNSS) receivers with antenna arrays. By combining the multipath detection results from different multipath detectors in the time and space domain, the method is able to compensate weaknesses of single-domain multipath detection methods in adverse conditions. In the time-domain, different features of the crosscorrelation function (CCF) are analyzed and intra-domain fusion is achieved by a classification approach. In the space-domain, several signal-number criteria are evaluated and intra-domain fusion is conducted using an evidence approach. The interdomain fusion between time-domain and space-domain features is conducted by joining the detection results from the different domains to either maximize the detection rate or minimize the false alarm rate. Experimental results indicate that the proposed approach outperforms conventional single-domain single-feature detection methods in simulated conditions.
Published in: 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS)
April 23 - 26, 2018
Hyatt Regency Hotel
Monterey, CA
Pages: 605 - 614
Cite this article: Gostishchev, Artem, Fohlmeister, Friederike, Konovaltsev, Andriy, "Robust Multipath Detection by Intra- and Inter-Domain Fusion with Real-Time Capability," 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS), Monterey, CA, April 2018, pp. 605-614.
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