定位用最小均方与归一化最小均方自适应滤波器的比较研究

Proceedings of 2014 Mediterranean Microwave Symposium (MMS2014) Pub Date : 2014-12-01 DOI:10.1109/MMS.2014.7088971

Ilham El Mourabit, A. Badri, A. Sahel, A. Baghdad

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引用次数: 2

摘要

相对于GPS信号难以到达的特点，基于蜂窝网络的定位技术由于其在多环境下的准确性和可用性而受到越来越多的关注。在本文中，我们将尝试介绍所选择的定位方法，然后应用两种不同类型的滤波器来比较它们的性能。

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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Comparative study of the Least Mean Square and Normalized Least Mean Square adaptive filters for positioning purposes

Positioning techniques based on cellular networks are gaining more attention thanks to their accuracy and availability in multiple environment compared to GPS signal which face a big difficulty to reach them. Those techniques can be enhanced with adaptive filtering process, In this paper we will try to introduce the chosen positioning method to work with then apply two different type of filters to compare their performances.

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Proceedings of 2014 Mediterranean Microwave Symposium (MMS2014)

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