基于OFDM符号宽度的循环平稳频谱感知方法

王俊; 尹佳佳; 黄凤英; 陈喆; 徐阳

doi:10.11999/JEIT170577

基于OFDM符号宽度的循环平稳频谱感知方法

doi: 10.11999/JEIT170577

1.
(福州大学电气工程与自动化学院福州 350116)
2.
(厦门大学嘉庚学院漳州 363105)

基金项目:

国家自然科学基金(61673116, 61301096)，福建省自然科学基金(2018J01789)

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- 文章访问数: 1321
- HTML全文浏览量: 166
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- 被引次数: 0
出版历程
- 收稿日期: 2017-06-14
- 修回日期: 2017-11-23
- 刊出日期: 2018-02-19

OFDM Symbol Duration Based Cyclostationary Spectrum Sensing Method

1.
(College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China)
2.
(Tan Kah Kee College, Xiamen University, Zhangzhou 363105, China)

Funds:

The National Natural Science Foundation of China (61673116, 61301096), The Natural Science Foundation of Fujian Province (2018J01789)

摘要

摘要: 该文提出一种新的基于OFDM符号宽度的感知方法。该方法首先对接收到的每个OFDM符号在其符号周期内进行循环自相关函数的估计，然后利用多元统计理论计算判决量和判决门限，最后将判决量和判决门限进行比较从而得到判决结果。该方法是非参数化的，因而能够在噪声不确定的情况下有效工作，并且该方法能够极大简化目前循环平稳感知类算法的复杂度而只有细微的性能损失。此外，该文接着又提出一个非参数化多天线线性加权合并感知方法。仿真结果表明，所提合并方法通过合理地非参数化优化加权系数，与传统循环平稳感知方法相比，在复杂度显著降低的同时，性能几乎与传统循环平稳感知方法一致。
- 认知无线电 /
- 频谱感知 /
- 循环平稳 /
- OFDM
Abstract: This paper proposes a new OFDM symbol duration based cyclostationary spectrum sensing method. The method first estimates the cyclic autocorrelation function from every received OFDM symbol during its symbol period, then constructs the test statistic and the threshold by using multivariate statistical analysis, and finally gets the decision result by comparing the test statistic with the threshold. The method is nonparametric so that it is immune from noise uncertainty. Simulation results show that the method can significantly reduce the complexity at the cost of a little performance loss, compared with conventional cyclostationary spectrum sensing method. Moreover, this paper further proposes a multiple antenna based nonparametric linear weighted combination scheme. Simulation results also show that the performance of the proposed combination scheme is almost the same as that of conventional cyclostationary spectrum sensing method while the proposed combination scheme has the advantage of complexity by optimizing the nonparametric weights reasonably.
- Cognitive radio /
- Spectrum sensing /
- Cyclostationarity; OFDM /

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参考文献(16)

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