The application of wavelet analysis technology on GPS data processing
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原文链接
NETL
NSTL
维普
万方数据
目前,小波分析技术已经广泛应用于数据处理、图象处理、语音识别与合成、天体识别,机器视觉、故障诊断与监控等诸多科技领域.在GPS动态测量中,由于在数据的采集和处理过程中存在一些偶然性的误差.这些误差会在一定程度影响测量结果的精度.因此,怎样有效地剔除这些误差以提高测量的精度和可靠性就成为一个不可回避的问题.针对这个问题,本文基于动态测量平台用两台NovAtel DL-4 plus GPS接收机设计了双动态测量实验.利用GrafMov数据处理软件对采集的GPS数据进行了解算,对解算的结果利用小波分析技术进行了降噪处理,求得了其噪声信号分布和特性,并对该噪声对测量结果的影响进行了评估分析.
Recently, wavelet analysis technology has been widely applied in many technology area such as data processing, image processing, sound identification and synthesis, celestial bodies recognition, machines vision, default diagnosis and monitoring. Because there exist some errors in data gathering and processing in GPS dynamic surveying, these errors will affect the precision of the surveying, it is a big issue to eliminate these errors to improve the results. In this paper, two NovAtel DL-4 plus GPS receivers were used tto design the GPS kinematic experiments based on dynamic inspection platform. The GPS data was processed by GrafMov data processing software. Then the result was denoised with wavelet technology, the distribution and characteristic of the noise signals were obtained. In the ends, the influence of this noise was evaluated and analyzed.
NETL
NSTL
维普
万方数据
