C. Zhou
Improving GPS Precision and Processing Time using Parallel and Reduced-Length Wiener Filters.
Mon, 06/07/2010 - 15:02 — SomNambulAuthors: C. Zhou, J. Garcia
Subjects: Other
AbstractIncreasing GPS precision at low cost has always been a challenge for the
manufacturers of the GPS receivers. This paper proposes the use of a Wiener
filter for increasing precision in substitution of traditional GPS/INS fusion
systems, which require expensive inertial systems. In this paper, we first
implement and compare three GPS signal processing schemes: a Kalman filter, a
neural network and a Wiener filter and compare them in terms of precision and
the processing time. To further reduce the processing time of Wiener filter, we
propose parallel and reduced-length implementations.Improving GPS/INS Integration through Neural Networks.
Fri, 05/28/2010 - 15:01 — SomNambulAuthors: M.Nguyen-H, C. Zhou
Subjects: Neural and Evolutionary Computation
AbstractThe Global Positioning Systems (GPS) and Inertial Navigation System (INS)
technology have attracted a considerable importance recently because of its
large number of solutions serving both military as well as civilian
applications. This paper aims to develop a more efficient and especially a
faster method for processing the GPS signal in case of INS signal loss without
losing the accuracy of the data. The conventional or usual method consists of
processing data through a neural network and obtaining accurate positioning
output data.
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