Abstract
This study focuses on mitigating the multipath, especially the short-delay multipath of the BeiDou navigation satellite system under impulsive noise conditions. A modified least meanp-norm (LMP) algorithm is developed to reduce the convergence time with the same steady-state error by predicting the updating trend of weights. The modified normalized power and the normalized polynomial least meanpth power are also directly provided according to a similar principle. According to the research work, an average filter has been utilized to improve the processing gain of designed mitigation scheme. Some significant simulation results verified the performance of the proposed adaption algorithm. Multipath parameter estimation tests have been conducted under different noise levels. Some comparative statistics performance assessments are quantified and verified under impulsive and additional white Gaussian noise environments. Results with various window widths of the average filtering and carrier-to-noise ratios indicate that the proposed scheme is able to improve the performance of the short-delay multipath mitigation under normal and degraded environments.
Highlights
The BeiDou navigation satellite system (BDS), which currently covers the Asia Pacific region, is aimed at entering the global network stage and becoming a global navigation satellite system (GNSS) in 2015
The BDS will eventually operate in the ocean, urban, and indoor environments, similar to the global positioning system (GPS) [1]
This condition ensures an analytical solution for the detection of a known signal in additional white Gaussian noise (AWGN) [4,5,6] in most cases
Summary
The BeiDou navigation satellite system (BDS), which currently covers the Asia Pacific region, is aimed at entering the global network stage and becoming a global navigation satellite system (GNSS) in 2015. The traditional adaptive filter has to be applied before the signal despreading, which leads to a limited processing gain This problem has apparently not been discussed in [4,5,6,7]. The GNSS receivers are operated in close proximity to various noise sources with Gaussian and non-Gaussian characteristics Such non-Gaussian random signals contain a large number of outliers. The impulsive signal source is the ultrawideband signals which cover the GNSS operating band and are adopted more and more in outdoor and indoor environments. The model for these signals cannot be justified because of the Gaussian noise.
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