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Suboptimal Soft Range Estimators With Applications in UWB Sensor Networks

Mats Rydström (Institutionen för signaler och system, Kommunikationssystem) ; Luca Reggiani ; Erik G. Ström (Institutionen för signaler och system, Kommunikationssystem) ; Arne Svensson (Institutionen för signaler och system, Kommunikationssystem)
IEEE Transactions on Signal Processing (1053-587X). Vol. 56 (2008), 10, Part 1, p. 4856-4866.
[Artikel, refereegranskad vetenskaplig]

In this paper, we consider the positioning problem in wireless sensor networks from a systems perspective, including aspects of the physical layer, channel, ranging algorithm and positioning algorithm. We argue that gains in positioning accuracy and robustness can be achieved by extending the interface between the physical layer ranging algorithm and the higher layer positioning algorithm to include more information than just a single distance estimate per link. Towards this end, we propose and analyze a “soft” distance estimator. This estimator, differently from traditional distance estimators, outputs a list of likely distances for each link together with a list of weights similar to likelihoods. Hence, we broaden the interface between ranging and positioning algorithm, and provide additional information that the positioning algorithm can exploit. The soft distance estimator we propose is of comparably low complexity, and offers competitive performance while making no assumptions on a priori channel information or network synchronization. The analysis and simulations in this work are based on the channel models adopted by the IEEE 802.15.4a working group, and highlight the benefits and drawbacks of the proposed approach.

Nyckelord: Delay estimation, localization, positioning, projections onto convex sets (POCS), time-of-arrival (TOA), ultra-wideband (UWB), wireless ranging, wireless sensor networks



Denna post skapades 2008-09-25. Senast ändrad 2014-09-29.
CPL Pubid: 74347

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Kommunikationssystem

Ämnesområden

Telekommunikation
Signalbehandling

Chalmers infrastruktur