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Periodicity makes perfect: recovering interfered preamble for high-coexistence wireless systems
EURASIP Journal on Wireless Communications and Networking ( IF 2.3 ) Pub Date : 2020-02-19 , DOI: 10.1186/s13638-019-1621-z
Ping Li , Panlong Yang , Yubo Yan

Abstract

Recent researches show that cross technology interference management plays an important role in the emergence of innovative applications for nowadays wireless networks. Existing algorithms either suffer from the constraint on the need of clean preamble or require technological similarities among cross technology systems. In this paper, we ask the question: “whether the packet with interfered preamble can be decoded?" To answer this question, we investigate the property of preamble and propose Narthil, an innovative coexistence algorithm which based on imperfect interference management, handling packet detection, symbol synchronization, and channel estimation with interfered preambles. Narthil applies a simple Butterworth band-stop filter for imperfect interference filtering, and leverages the residual signals for packet detection and symbol synchronization, as well as channel estimation. The insight is the inherent properties of preamble such as periodicity and modulation scheme, and the frequency continuity in OFDM signal could be effectively leveraged for important processes such as packet detection, symbol synchronization, and channel estimation. These favorable properties could be used to further enhance the performance of other cross technology signal coexistence algorithms. We implement Narthil algorithm on our USRP/GNU Radio platform, and evaluate its performance by using 15 USRP-N210 devices through the real deployment experiments. The results demonstrate that Narthil can effectively detect the incoming packet and achieves a high accuracy symbol synchronization, as well as channel estimation of the interfered preamble, and also achieve a good performance on packet decoding.



中文翻译:

周期性非常完美:为高共存无线系统恢复受干扰的前同步码

摘要

最新研究表明,跨技术干扰管理在当今无线网络创新应用的兴起中起着重要作用。现有算法受制于需要干净的前同步码的约束,或者需要跨技术系统之间的技术相似性。在本文中,我们提出一个问题:“是否可以解码受干扰的前同步码的数据包?”为回答这个问题,我们研究了前同步码的特性,并提出了一种基于不完善干扰管理,处理数据包检测的创新共存算法Narthil。 ,符号同步和带有干扰前导的信道估计。Narthil将一个简单的Butterworth带阻滤波器应用于不完美的干扰过滤,并利用残差信号进行数据包检测,符号同步以及信道估计。洞察力是前同步码的固有特性,例如周期性和调制方案,并且可以有效地利用OFDM信号中的频率连续性来进行重要的过程,例如数据包检测,符号同步和信道估计。这些有利的特性可用于进一步增强其他跨技术信号共存算法的性能。我们在USRP / GNU Radio平台上实现Narthil算法,并通过实际部署实验使用15个USRP-N210设备评估其性能。结果表明,Narthil可以有效地检测传入的数据包并实现高精度的符号同步,

更新日期:2020-02-19
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