Data-aided ML timing acquisition in ultra-wideband radios
Document Type
Conference Proceeding
Publication Date
1-1-2003
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. © 2003 IEEE.
Publication Title
2003 IEEE Conference on Ultra Wideband Systems and Technologies, UWBST 2003 - Conference Proceedings
Recommended Citation
Tian, Z.,
&
Giannakis, G.
(2003).
Data-aided ML timing acquisition in ultra-wideband radios.
2003 IEEE Conference on Ultra Wideband Systems and Technologies, UWBST 2003 - Conference Proceedings, 142-146.
http://doi.org/10.1109/UWBST.2003.1267820
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/11193