基于频域前导的LoRa信道估计与均衡

Q4 Business, Management and Accounting

International Journal of Mobile Network Design and Innovation Pub Date : 2021-10-12 DOI:10.36227/techrxiv.16760101

V. Savaux, Patrick Savelli

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引用次数: 6

摘要

本文研究了LoRa中的多径信道估计和均衡问题。建议利用LoRa帧前导中符号的循环特性，在频域中获得符号的无干扰版本。然后，可以应用多载波系统中使用的估计方法，如最小二乘(LS)和最小均方误差(MMSE)估计器。结果表明，LoRa的循环特性与信道长度无关，使得这些估计技术对任何频率选择信道都具有鲁棒性。此外，采用了频域强制零均衡器(ZF)，并引入了一种原始相位均衡器，利用了LoRa符号在频域的恒模特性。通过仿真证明了所研究的估计器和均衡器的性能，并进一步讨论了所研究结果的应用。

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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Frequency Domain Preamble-Based Channel Estimation and Equalization in LoRa

This paper deals with multipath channel estimation and equalization in LoRa. It is suggested to take advantage of the cyclic property of the symbols in the LoRa frame preamble to obtain an interference-free version of the symbols in the frequency domain. Then, estimation methods used in multicarrier systems can be applied, such as the least square (LS), and the minimum mean square error (MMSE) estimators. It is shown that the cyclic property in LoRa is inherently independent of the length of the channel, making these estimation techniques robust to any frequency-selective channel. In addition the frequency domain zero-forcing (ZF) equalizer is used, and an original phase equalizer is introduced, taking advantage of the constant modulus property of LoRa symbols in the frequency domain. The performance of the investigated estimators and equalizers is shown through simulations, and applications to the presented results are further discussed.

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来源期刊

International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems

CiteScore

0.30

自引率

0.00%

发文量

期刊介绍： The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.