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Multi Detector Fusion of Dynamic TOA hstimation using Kalman Filter
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-4265-9490
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-7450-8681
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-2718-0262
2016 (English)In: 2016 IEEE International Conference on Communications (ICC), Institute of Electrical and Electronics Engineers (IEEE), 2016Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we propose fusion of dynamic time of arrival (TOA) from multiple low complexity detectors like energy detectors operating at sub-Nyquist rate through Kalman filtering. We show that by having a multi-channel sub-Nyquist receiver with each channel having an energy detector can match the performance of a single channel digital receiver with matched filter. We derive analytical expression for number of sub-Nyquist energy detector channels needed to achieve the performance of digital implementation with matched filter and demonstrate in simulation the validity of our analytical approach. Results indicate that number of energy detectors needed will he high at low SNRs and converge to a constant number as the SNR increases. We also study the performance of the proposed strategy using IEEE 802.15.4a CM1 multipath channel model and show in simulation that two sub-Nyquist detectors are sufficient to match the performance of digital matched filter.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016.
Series
IEEE International Conference on Communications, ISSN 1550-3607
Keywords [en]
Time of arrival (TOA), ultra wideband (UWB), UWB ranging
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-200445ISI: 000390993205135ISBN: 978-1-4799-6664-6 (print)OAI: oai:DiVA.org:kth-200445DiVA, id: diva2:1069191
Conference
IEEE International Conference on Communications (ICC), MAY 22-27, 2016, Kuala Lumpur, Malaysia
Note

QC 20170127

Available from: 2017-01-27 Created: 2017-01-27 Last updated: 2017-01-27Bibliographically approved

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Yajnanarayana, VijayaDwivedi, SatyamHändel, Peter
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  • apa
  • harvard1
  • ieee
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