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Maximum likelihood multipath estimation in comparison with conventional delay lock loops

Lentmaier, Michael LU and Krach, Bernhard (2006) International Technical Meeting of the Institute of Navigation Satellite Division, (ION GNSS), 2006
Abstract
The implementation of the maximum likelihood estimator

for the time-delay estimation problem is practically

intractable for navigation signals due to its complexity,

especially when due to multipath reception several

superimposed replica are taken into account. Recently it

has been shown that signal compression techniques can

overcome this problem, as the maximum likelihood

estimator can be formulated efficiently upon a reduced

data set of much smaller size compared to the original

data, where the reduced data set forms a sufficient statistic

for the estimated signal parameters. This paper focuses on

the formulation of such a signal... (More)
The implementation of the maximum likelihood estimator

for the time-delay estimation problem is practically

intractable for navigation signals due to its complexity,

especially when due to multipath reception several

superimposed replica are taken into account. Recently it

has been shown that signal compression techniques can

overcome this problem, as the maximum likelihood

estimator can be formulated efficiently upon a reduced

data set of much smaller size compared to the original

data, where the reduced data set forms a sufficient statistic

for the estimated signal parameters. This paper focuses on

the formulation of such a signal compression based

estimator. Furthermore the integration of the estimator

into navigation receivers is addressed, in particular by

considering the delay lock loop architecture that is

employed within conventional navigation receivers. A

novel approach for integrating the efficient maximum

likelihood estimator into a generic tracking loop is

proposed. The performance of the proposed method is

assessed by computer simulations. The results show that

the conventional delay lock loop is outperformed with respect to noise performance as well as with respect to the

multipath bias. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
GNSS, multipath mitigation, delay lock loop, DLL
conference name
International Technical Meeting of the Institute of Navigation Satellite Division, (ION GNSS), 2006
external identifiers
  • Scopus:34247151671
language
English
LU publication?
no
id
94ff4aff-abed-4ea8-ae34-d88b96d9c8f8 (old id 3731442)
alternative location
http://elib.dlr.de/44211/1/ION06Submission-LentmaierKrach.pdf
date added to LUP
2013-04-29 10:52:10
date last changed
2016-10-13 04:57:26
@misc{94ff4aff-abed-4ea8-ae34-d88b96d9c8f8,
  abstract     = {The implementation of the maximum likelihood estimator<br/><br>
for the time-delay estimation problem is practically<br/><br>
intractable for navigation signals due to its complexity,<br/><br>
especially when due to multipath reception several<br/><br>
superimposed replica are taken into account. Recently it<br/><br>
has been shown that signal compression techniques can<br/><br>
overcome this problem, as the maximum likelihood<br/><br>
estimator can be formulated efficiently upon a reduced<br/><br>
data set of much smaller size compared to the original<br/><br>
data, where the reduced data set forms a sufficient statistic<br/><br>
for the estimated signal parameters. This paper focuses on<br/><br>
the formulation of such a signal compression based<br/><br>
estimator. Furthermore the integration of the estimator<br/><br>
into navigation receivers is addressed, in particular by<br/><br>
considering the delay lock loop architecture that is<br/><br>
employed within conventional navigation receivers. A<br/><br>
novel approach for integrating the efficient maximum<br/><br>
likelihood estimator into a generic tracking loop is<br/><br>
proposed. The performance of the proposed method is<br/><br>
assessed by computer simulations. The results show that<br/><br>
the conventional delay lock loop is outperformed with respect to noise performance as well as with respect to the<br/><br>
multipath bias.},
  author       = {Lentmaier, Michael and Krach, Bernhard},
  keyword      = {GNSS,multipath mitigation,delay lock loop,DLL},
  language     = {eng},
  title        = {Maximum likelihood multipath estimation in comparison with conventional delay lock loops},
  year         = {2006},
}