Localization of mobile nodes in wireless networks with correlated in time measurement noise

LS Mihaylova, D Angelova, DR Bull, C Canagarajah

Research output: Contribution to journalArticle (Academic Journal)

44 Citations (Scopus)

Abstract

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
Translated title of the contributionLocalization of mobile nodes in wireless networks with correlated in time measurement noise
Original languageEnglish
Pages (from-to)44 - 53
Number of pages10
JournalIEEE Transactions on Mobile Computing
Volume10 (1)
DOIs
Publication statusPublished - Jan 2011

Fingerprint Dive into the research topics of 'Localization of mobile nodes in wireless networks with correlated in time measurement noise'. Together they form a unique fingerprint.

  • Cite this