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High-resolution TOA estimation for IR-UWB ranging based on low-rate compressed sampling

  • Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Traditionally, high-precision TOA estimation for IR-UWB ranging relies on extremely high-rate sampling, which is difficult to implement with low-cost. In this paper, by introducing the newly emerging compressed sensing (CS) theory to the design of IR-UWB ranging system, low-rate sampling based high-precision TOA estimation is realized. The matching-pursuit search-back (MP-SB) algorithm for TOA estimation is proposed, which utilizes iterative search and threshold comparison to detect the 1st path from the compressed sensing measurements of the received ranging signal. The detection threshold in each iteration step is adaptively optimized. The performance of the proposed method is analyzed through simulations under IEEE 802.15.4a channel models. Results show that the proposed method can obtain high-precision ranging results with measurements far less than Nyquist-rate samples. Therefore, the proposed method serves as an alternative practical high-precision IR-UWB ranging method.

Original languageEnglish
Title of host publicationProceedings of the 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011
Pages478-483
Number of pages6
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011 - Harbin, China
Duration: 17 Aug 201119 Aug 2011

Publication series

NameProceedings of the 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011

Conference

Conference2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011
Country/TerritoryChina
CityHarbin
Period17/08/1119/08/11

Keywords

  • IR-UWB
  • TOA estimation
  • compressed sensing
  • low-rate sampling

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