基于循环自相关函数的OFDMA系统识别:一个软件定义的无线电试验台

2016 10th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2016-12-01 DOI:10.1109/ICSPCS.2016.7843351

Halim Bahadir Tugrel, Hakan Alakoca, Kürşat Tekbıyık, Günes Karabulut-Kurt, Cem Ayyildiz

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引用次数: 2

摘要

本文采用循环自相关函数(CAF)进行信号类型识别。利用软件定义的无线电节点产生不同循环前缀长度的正交频分多址(OFDMA)信号。根据测试结果，利用OFDMA帧结构可以区分OFDMA信号，因此可以盲目区分信号参数。此外，还可以区分干扰信号和OFDMA信号。给出了实时测量结果，以验证所研究方法的性能。

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OFDMA system identification using cyclic autocorrelation function: A software defined radio testbed

In this paper, cyclic autocorrelation function (CAF) is used for signal type identification. Orthogonal frequency division multiple access (OFDMA) signals with different cyclic prefix lengths are generated by using software defined radio nodes. According to test results, by using the OFDMA frame structure, it is possible to distinguished between OFDMA signals, hence signal parameters can be blindly differentiated. Additionally, jamming signal and OFDMA signals can also be distinguished from each other. Real-time measurement results are given to demonstrate the performance of the investigated approach.

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2016 10th International Conference on Signal Processing and Communication Systems (ICSPCS)

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