Data-aided ML timing acquisition in ultra-wideband radios

Research output: Chapter in Book/Report/Conference proceedingConference contribution

36 Scopus citations

Abstract

Realizing the great potential of ultra-wideband radios depends critically on the success of timing acquisition. To this end, optimum data-aided timing offset estimators are derived in this paper based on the maximum likelihood (ML) criterion. Specifically, generalized likelihood ratio tests are employed to detect an ultra-wideband waveform propagating through dense multipath, as well as to estimate the associated timing and channel parameters in closed form. The acquisition ambiguity induced by multipath spreading and time hopping is resolved via a robust ML formulation. The proposed algorithms only employ digital samples collected at a low symbol or frame rate, thus reducing considerably the implementation complexity and acquisition time.

Original languageEnglish (US)
Title of host publication2003 IEEE Conference on Ultra Wideband Systems and Technologies, UWBST 2003 - Conference Proceedings
PublisherIEEE Computer Society
Pages142-146
Number of pages5
DOIs
StatePublished - Jan 1 2003
Event2003 IEEE Conference on Ultra Wideband Systems and Technologies, UWBST 2003 - Reston, VA, United States
Duration: Nov 16 2003Nov 19 2003

Other

Other2003 IEEE Conference on Ultra Wideband Systems and Technologies, UWBST 2003
CountryUnited States
CityReston, VA
Period11/16/0311/19/03

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