Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Adaptive synchronization and integration region optimization for energy detection IR-UWB receivers
KTH, School of Information and Communication Technology (ICT), Electronic Systems. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
KTH, School of Information and Communication Technology (ICT), Electronic Systems. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
KTH, School of Information and Communication Technology (ICT), Electronic Systems. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
KTH, School of Information and Communication Technology (ICT), Electronic Systems. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
2012 (English)In: Ultra-Wideband (ICUWB), 2012 IEEE International Conference on, IEEE , 2012, 62-66 p.Conference paper, Published paper (Refereed)
Abstract [en]

Non-coherent energy detection (ED) IR-UWB receivers exhibit strong advantages in low data rate, low power and low cost applications such as RFID and Wireless Sensor Networks. However, the performance of ED receivers is usually suffered from the noise enhancement due to the large time-bandwidth product. The integration region of the receiver integrator significantly affects the bit error rate (BER) performance. This paper presents a method of synchronization and estimating the optimal integration region (i.e., the starting point and the length of the integration window), which is based on the analysis of received signal energy capture and combined with a time of arrival (TOA) estimation. The proposed scheme is based on the symbol rate sampling and does not require a priori information about the channel delay profile. Besides, it can adapt to various indoor channel environments. The algorithm has a moderate accuracy but a very low complexity and fast synchronization speed. The validity of the proposed approach is demonstrated by numerical results using IEEE 802.15.4a channel models.

Place, publisher, year, edition, pages
IEEE , 2012. 62-66 p.
Series
Proceedings - IEEE International Conference on Ultra-Wideband, ISSN 2162-6588
Keyword [en]
energy detection, integration region optimization, non-coherent, synchronization, UWB
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-100590DOI: 10.1109/ICUWB.2012.6340502Scopus ID: 2-s2.0-84870797550ISBN: 978-145772030-7 (print)OAI: oai:DiVA.org:kth-100590DiVA: diva2:543911
Conference
2012 IEEE International Conference on Ultra-Wideband, ICUWB 2012; Syracuse, NY;17 September 2012 through 20 September 2012
Note

QC 20130122

Available from: 2012-08-10 Created: 2012-08-10 Last updated: 2016-11-11Bibliographically approved
In thesis
1. Sub-Nyquist Sampling Impulse Radio UWB Receivers for the Internet-of-Things
Open this publication in new window or tab >>Sub-Nyquist Sampling Impulse Radio UWB Receivers for the Internet-of-Things
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In the era of Internet-of-Things, the demand for short range wireless links featured by low-power and low-cost, robust communication and high-precision positioning is growing rapidly. Impulse Radio Ultra-Wideband (IR-UWB) technology characterized by the transmission of sub-nanosecond pulses spanning up to several GHz band with extremely low power spectral density emerges as a promising candidate. Nevertheless, several challenges must be confronted in order to take the full advantage of IR-UWB technology. The most significant one lies in the reception of UWB signals. Traditional receiver requires Nyquist rate ADC which is overwhelmingly complex and power hungry. This dissertation proposes and investigates possible sub-Nyquist sampling techniques for IR-UWB receiver design.

In the first part of this dissertation, the IR-UWB receiver based on energy detection (ED) principle is explored. A low-power ED receiver featured by flexibility and multi-mode operation is proposed. The receiver prototype for 3-5 GHz band is implemented in 90 nm CMOS. Measurement results demonstrate that 16.3 mW power consumption and -79 dBm sensitivity at 10 Mb/s data rate can be achieved. To further optimize the receiver performance, threshold optimization is suggested for the on-off-keying modulated signal, and adaptive synchronization and integration region optimization is proposed. Finally, a low complexity burst packet detection scheme is proposed, which is adaptive to the variations of noise background and link distance.

In the second part of this dissertation, the IR-UWB receiver based on compressed sensing (CS) theory is investigated. Firstly, appropriate sparse basis, sensing matrix and reconstruction algorithms are suggested for the CS based IR-UWB receiver. And then, the architectural analysis of the CS receiver with focuses on the random noise processes in the CS measurement procedure is presented. At last, a novel two-path noise-reducing architecture for the CS receiver is proposed. Besides the improvement on the receiver performance, the proposed architecture also relaxes the hardware implementation of the CS random projection as well as the back-end signal reconstruction.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. 79 p.
Series
TRITA-ICT, 2016:23
Keyword
Ultra-Wideband, impulse radio, receiver, energy detection, compressed sensing, sub-Nyquist sampling, Internet-of-Things
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Information and Communication Technology
Identifiers
urn:nbn:se:kth:diva-195816 (URN)978-91-7729-174-9 (ISBN)
Public defence
2016-12-12, Sal 205, Electrum, Kista, 09:00 (English)
Opponent
Supervisors
Note

QC 20161110

Available from: 2016-11-10 Created: 2016-11-09 Last updated: 2016-11-10Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Zhou, QinZou, ZhuoTenhunen, HannuZheng, Li-Rong
By organisation
Electronic SystemsVinnExcellence Center for Intelligence in Paper and Packaging, iPACK
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 40 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf