基于独立分量分析的全球卫星导航系统阵列多径缓解算法

2010 IEEE International Conference on Wireless Communications, Networking and Information Security Pub Date : 2010-06-25 DOI:10.1109/WCINS.2010.5544048

Songtao Lu, Yun Zhao

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引用次数: 3

摘要

人们认识到，在全球导航卫星系统(GNSS)接收机中，多路径仍然是主要的误差来源之一。独立分量分析(ICA)作为直接序列扩频(DSSS)通信系统中利用天线阵列提取干扰信号来盲抑制干扰信号的先进处理工具已被广泛使用，但关于ICA在卫星导航系统中的应用的文献很少。针对GNSS多径分量估计问题，提出了基于ICA的盲多径缓解算法。该算法能够有效地将接收到的伪距离分别分解为独立的多径分量和噪声分量，从而提供多径时延估计的必要信息。仿真结果表明，该方法在多径环境下具有较好的定位性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A multipath mitigation algorithm in Global Navigation Satellite Systems arrays using Independent Component Analysis

it is recognized that Multipath remains as one of dominant source of errors in Global Navigation Satellite System (GNSS) receivers. Independent Component Analysis (ICA) has been widely used as an advanced processing tool for blind suppression of interfering signals in Direct Sequence Spread Spectrum (DSSS) communication systems by utilizing antenna arrays to extract interference signals, but very less literature is available on the performance of ICA in the navigation satellite systems application. We proposed ICA based blind multipath mitigation algorithm for estimation of GNSS multipath components. The proposed algorithm could effectively decompose the received pseudo-range into the independent multipath component and the noise component respectively, and hence provide necessary information about the delay estimation of these multipaths. The effectiveness of this method in multipath environment is demonstrated effectively, which has a better positioning performance over conventional scheme via simulations.

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2010 IEEE International Conference on Wireless Communications, Networking and Information Security

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