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IR-UWB detection and fusion strategies using multiple detector types
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: IEEE Wireless Communications and Networking Conference, WCNC, Institute of Electrical and Electronics Engineers (IEEE), 2016, 7565140Conference paper, Published paper (Refereed)
Abstract [en]

Optimal detection of ultra wideband (UWB) pulses in a UWB transceiver employing multiple detector types is proposed and analyzed in this paper. To enable the transceiver to be used for multiple applications, the designers have different types of detectors such as energy detector, amplitude detector, etc., built in to a single transceiver architecture. We propose several fusion techniques for fusing decisions made by individual IR-UWB detectors. In order to get early insight into theoretical achievable performance of these fusion techniques, we assess the performance of these fusion techniques for commonly used detector types like matched filter, energy detector and amplitude detector under Gaussian assumption. These are valid for ultra short distance communication and in UWB systems operating in millimeter wave (mmwave) band with high directivity gain. In this paper, we utilize the performance equations of different detectors, to device distinct fusion algorithms. We show that the performance can be improved approximately by 4 dB in terms of signal to noise ratio (SNR) for high probability of detection of a UWB signal (> 95%), by fusing decisions from multiple detector types compared to a standalone energy detector, in a practical scenario.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. 7565140
Keyword [en]
Neyman-Pearson test, Sensor Networks, Time of Arrival (TOA), Ultra Wideband (UWB), UWB ranging, Broadband networks, Communication channels (information theory), Matched filters, Millimeter waves, Radio transceivers, Signal detection, Signal to noise ratio, Time of arrival, Transceivers, Wireless telecommunication systems, Achievable performance, Gaussian assumption, Millimeter waves (mmwave), Multiple applications, Short distance communications, Ultra-wideband pulse, Ultra-wideband (UWB)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-194858DOI: 10.1109/WCNC.2016.7565140ISI: 000388603103020Scopus ID: 2-s2.0-84989813883ISBN: 9781467398145 (print)OAI: oai:DiVA.org:kth-194858DiVA: diva2:1054869
Conference
2016 IEEE Wireless Communications and Networking Conference, WCNC 2016, Doha, Qatar, 3 April 2016 through 7 April 2016
Note

QC 20161209

Available from: 2016-12-09 Created: 2016-11-01 Last updated: 2017-01-09Bibliographically approved

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Yajnanarayana, VijayaDwivedi, SatyamHändel, Peter
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