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Localization of Mobile Nodes in Wireless Networks with Correlated in Time Measurement Noise

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4 Author(s)
Lyudmila Mihaylova ; Lancaster University, Lancaster, UK ; Donka Angelova ; David Bull ; Nishan Canagarajah

Wireless sensor networks are an inherent part of decision making, object tracking, and location awareness systems. This work is focused on simultaneous localization of mobile nodes based on received signal strength indicators (RSSIs) with correlated in time measurement noises. Two approaches to deal with the correlated measurement noises are proposed in the framework of auxiliary particle filtering: with a noise augmented state vector and the second approach implements noise decorrelation. The performance of the two proposed multimodel auxiliary particle filters (MM AUX-PFs) is validated over simulated and real RSSIs and high localization accuracy is demonstrated.

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IEEE Transactions on Mobile Computing  (Volume:10 ,  Issue: 1 )