Robust distributed positioning algorithms for cooperative networks

The problem of positioning targets based on distance estimates is studied for cooperative wireless sensor networks when there is limited a priori information about measurements noise. To solve this problem, two different methods of positioning are considered: statistical and geometrical. Based on a...

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Veröffentlicht in:2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications S. 156 - 160
Hauptverfasser: Gholami, Mohammad Reza, Wymeersch, Henk, Strom, Erik G., Rydstrom, Mats
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.06.2011
Schlagworte:
Approximation methods
Cooperative networks
Nonlinear optics
Position measurement
positioning
robust estimation
Robustness
Signal processing algorithms
Simulation
statistical and geometrical estimators
Wireless sensor networks
ISBN:9781424493333, 1424493331, 1424493323, 9781424493326
ISSN:1948-3244
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Zusammenfassung:The problem of positioning targets based on distance estimates is studied for cooperative wireless sensor networks when there is limited a priori information about measurements noise. To solve this problem, two different methods of positioning are considered: statistical and geometrical. Based on a geometric interpretation, we show that the positioning problem can be rendered as finding the intersection of a number of convex sets. To find this intersection, we propose two different methods based on projection onto convex sets and outer-approximation. In the statistical approach, a partly novel two-step linear estimator is proposed which can be expressed in a closed-form solution. We also propose a new constrained non-linear least squares algorithm based on constraints derived in the outer-approximation approach. Simulation results show that the geometrical methods are more robust against non-line-of-sight measurements than the statistical approaches while in dense networks with line-of-sight measurements statistical approaches outperform geometrical methods.
ISBN:9781424493333
1424493331
1424493323
9781424493326
ISSN:1948-3244
DOI:10.1109/SPAWC.2011.5990384