Accurate GNSS Range Estimation in Multipath Environments Using Stochastic‐Gradient‐Based Adaptive Filtering
Navigation(2016)
摘要
Multipath propagation is one of the dominant sources in ranging applications. The
problem of GNSS multipath mitigation is investigated herein through the development
of adaptive multipath channel compensation filters that impose a smaller computational
load on the receiver compared to most of the advanced delay estimation techniques.
An optimum estimation block is designed to produce the control error signal in the
feedback loop used to update the filter coefficients adaptively. Using the proposed
method, multipath distortion on the received signal is compensated for by passing
signals through a filter whose coefficients are adaptively adjusted employing feedback
signals. A set of simulation and real data processing results are presented to compare
the performance of the proposed adaptive techniques with some of the conventional
DLLs under realistic urban channel conditions. The experimental results are based
on live vehicular GPS data collected in dense urban environments; the results demonstrate
a reduction of up to 30% in RMSE values of the computed position errors. Copyright
© 2016 Institute of Navigation.
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