Identification of IEEE 802.11g and IEEE 802.15.4 signals using energy and cyclostationarity detection approach

2016 1st International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT) Pub Date : 2016-08-01 DOI:10.1109/INSCIT.2016.7598195

G. C. Zanuz, J. Winter, I. Muller, J. T. Garzon, J. Netto, C. Pereira

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引用次数: 3

Abstract

The industrial, scientific and medical band is widely used by different wireless systems. The identification of other wireless technologies in the common environment is one of the keys for correct system coexistence. In this work, a sensing platform for the detection of IEEE 802.11g and IEEE 802.15.4 primary signals in the 2.4 GHz band is proposed. The sensing platform makes use of a combined scheme between energy detection and cyclostationarity-based methods for better accuracy. A universal software radio peripheral equipment is used for the acquisition of RF signals. Meanwhile, the signal processing and detection methods are performed in software domain by means of LabVIEW. Experimental testes are developed for evaluating the proposed platform and algorithms. The reliability rate and correct classification of the signals are the chosen parameters for evaluation of the proposal. The results show the optimal threshold for achieving an adequate reliability rate.

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使用能量和循环平稳检测方法识别IEEE 802.11g和IEEE 802.15.4信号

工业、科学和医疗频段被不同的无线系统广泛使用。识别公共环境中的其他无线技术是系统正确共存的关键之一。本文提出了一种用于检测2.4 GHz频段IEEE 802.11g和IEEE 802.15.4主信号的传感平台。该传感平台采用能量检测和基于循环平稳性的方法相结合的方案，以提高精度。一种通用软件无线电外围设备用于射频信号的采集。同时，利用LabVIEW在软件领域对信号进行处理和检测。开发了实验测试来评估所提出的平台和算法。信号的可靠性和正确分类是评估方案的选择参数。结果显示了达到适当可靠性的最佳阈值。

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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2016 1st International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT)

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