Maximum Likelihood Frequency Offset Estimation in Multiple Access Time-Hopping UWB

Frequency offset estimation for time-hopping (TH) ultra-wide-band (UWB) is addressed in the literature by relying on an AWGN assumption and by exploiting a periodic preamble appended to each packet. In this paper we generalize these techniques with two aims. First, we identify a solution which does...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2011-07, Vol.10 (7), p.2040-2045
Main Authors: Erseghe, T., Cipriano, A. M.
Format: Article
Language:English
Subjects:
Applied sciences
AWGN
Channel estimation
Complexity theory
Construction
Cramer-Rao bounds
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Frequency estimation
Gaussian
Gaussian mixture
Information, signal and communications theory
Interference
interference suppression
Mathematical models
Maximum likelihood estimation
Multiple access
Offsets
Receivers
Signal and communications theory
Signal, noise
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
time hopping communication
Transmission and modulation (techniques and equipments)
ultra wide band communication
Ultrawideband
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Summary:Frequency offset estimation for time-hopping (TH) ultra-wide-band (UWB) is addressed in the literature by relying on an AWGN assumption and by exploiting a periodic preamble appended to each packet. In this paper we generalize these techniques with two aims. First, we identify a solution which does not rely on any periodic structure, but can be implemented with a generic TH format. Second, we identify a solution which is robust to multiple access interference (MAI) by assuming a Gaussian mixture (GM) model for MAI. In fact, GMs have recently been identified as good descriptors of UWB interference, and they provide closed form and limited complexity results. With these ideas in mind, we build a data aided maximum likelihood (ML) estimator. The proposed ML solution shows quasi optimum performance in the Cramer-Rao bound sense, and proves to be robust in meaningful multiple user scenarios.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2011.052311.101589