面向GNSS的鲁棒信号处理

2017 European Navigation Conference (ENC) Pub Date : 2017-05-09 DOI:10.1109/EURONAV.2017.7954204

D. Borio

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引用次数: 17

摘要

全球导航卫星系统(GNSS)接收机的数字信号处理主要基于接收机输入噪声为高斯的假设。这个假设导致了一个非线性最小二乘(LS)问题，其中GNSS信号参数是通过最小化一个二次代价函数来估计的。然而，接收机的性能会受到干扰和干扰等非高斯现象的显著影响。

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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Robust signal processing for GNSS

Digital signal processing for Global Navigation Satellite System (GNSS) receivers is mostly based on the assumption that the noise at the receiver input is Gaussian. This assumption leads to a non-linear Least Squares (LS) problem where GNSS signal parameters are estimated by minimizing a quadratic cost function. The receiver performance can be however significantly degraded by non-Gaussian phenomena such as interference and jamming.

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2017 European Navigation Conference (ENC)

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