A novel method based on MapReduce to extract auxiliaryrninformation for GNSS receivers

摘要

In order to improve the positioning and navigation performance of Global Navigation Satellite Systemrn(GNSS) receivers, a novel method to extract auxiliary information for GNSS receiver is proposed in thisrnpaper, which obtains the area GNSS auxiliary information (AGAI) with enough credibility and area attribute.rnFirstly, a mass of historical GNSS intermediate frequency data is divided into blocks to be acquired andrntracked parallel getting massive pseudorange and navigation message (MPD). Then, the massive MPD arernweighted and fused parallel by an appropriate weight matrix, which is determined by a priori weightingrnbased on altitude angle and posterior weighting based on M-residuals variable components estimation.rnLastly, the fused information is corresponded to the corresponding location coordinate, completing the parallelrnextraction of AGAI. The method implemented by parallel programming models MapReduce of Hadooprnto guarantee a high efficiency. Experimental results show that the positioning and velocity error of GNSSrnreceivers are reduced by 18.24% and 20.48% using AGAI instead of traditional auxiliary information, andrnthe execution time of the method using MapReduce is reduced by 46.72%, so the proposed method is reliablernand effective. Copyright © 2016 John Wiley & Sons, Ltd.