DiPLoc: Direct Signal Domain Particle Filtering for Network Localization

Siwei Zhang, Emanuel Staudinger, Wei Wang, Christian Gentner, Armin Dammann and Erik Sandgren

Peer Reviewed

Abstract:	We envisage a very high mobile terminal (MT) density for future wireless networks which requires ubiquitous high-definition network self-localization ability. Traditional network localization contains two steps: ranging and localization. The coherence between the two steps is not fully exploited. We propose a direct signal domain particle filter for network selflocalization (DiPLoc). The key objective is to obtain the location information directly from the received signal samples, i.e. the waveform, avoiding hard decision in the intermediate step and the ranging model approximation. The complexity of the proposed DiPLoc is similar to the two-step approach. Both of the numerical and experimental results show that, the DiPLoc outperforms the traditional two-step approaches especially when the network is dense.
Published in:	Proceedings of the 28th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2015) September 14 - 18, 2015 Tampa Convention Center Tampa, Florida
Pages:	2267 - 2274
Cite this article:	Zhang, Siwei, Staudinger, Emanuel, Wang, Wei, Gentner, Christian, Dammann, Armin, Sandgren, Erik, "DiPLoc: Direct Signal Domain Particle Filtering for Network Localization," Proceedings of the 28th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2015), Tampa, Florida, September 2015, pp. 2267-2274.
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