基于聚类的超宽带定位干扰抑制算法

2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2022-04-01 DOI:10.1109/AEMCSE55572.2022.00133

Di Luo, Zhi Li, Jishun Li, Xinli Zhu

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引用次数: 0

摘要

UWB(超宽带)技术，也被称为“超宽带”或脉冲无线电技术，是一种无线通信系统，在没有任何载波的情况下，通过发送纳秒脉冲在短距离上传输数据，在信号传输过程中只使用几十pW。由于其独特的特性，超宽带在军事和物联网等不同行业中提供了广泛的应用。在复杂的内部情况下，多径效应的存在会产生相当大的定位误差。为了解决这个问题，我们生成了一个模拟室内环境，其中有物体遮挡和反射，以重建多路径效果。基于这种情况，研究了一种利用k均值抑制多径干扰和提高定位精度的特殊策略。

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Clustering-based Interference Suppression Algorithm for UWB Localization

UWB (Ultra-Wideband) technology, also known as "Ultra-Wideband" or pulse radio technology, is a wireless communication system that transfers data over short distances by delivering nanosecond pulses without any carrier, with just a few tens of pW used during signal transmission. Because of its unique properties, UWB offers a wide variety of applications in diverse industries such as military and Internet of Things. The existence of multipath effects produces considerable positioning mistakes in complicated interior situations. To solve this issue, a simulated indoor environment with object occlusion and reflection is generated to recreate multipath effects. Based on this circumstance, a special strategy for suppressing multipath interference and improving localization accuracy is investigated using K-Means.

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来源期刊

2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)

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