利用频域Sevcik分形维数进行快速盲频谱感知

doi:10.13229/j.cnki.jdxbgxb201403044

吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (3): 854-860.doi: 10.13229/j.cnki.jdxbgxb201403044

利用频域Sevcik分形维数进行快速盲频谱感知

富爽^1,2,李一兵¹,叶方¹,高振国³

1.哈尔滨工程大学信息与通信工程学院, 哈尔滨 150001;
2.黑龙江八一农垦大学信息技术学院, 黑龙江大庆 163319;
3. 哈尔滨工程大学自动化学院, 哈尔滨150001

收稿日期:2012-11-26 出版日期:2014-03-01 发布日期:2014-03-01
通讯作者: 李一兵(1967),男,教授,博士生导师.研究方向:认知无线电.E-mail:liyibing0920@sina.cn E-mail:fushuang_dq@163.com
作者简介:富爽(1982),女,博士研究生.研究方向:认知无线电.E-mail:fushuang_dq@163.com
基金资助:
国家自然科学基金青年科学基金项目(61101141);中央高校基本科研业务费专项基金项目(HEUCF130807).

Fast blind spectrum sensing using Sevcik fractal dimension in frequency domain

FU Shuang^1,2,LI Yi-bing¹,YE Fang¹,GAO Zhen-guo³

1.Institute of Information and Communication Engineering, Harbin Engineering University, Harbin 150001,China;
2.Institute of Information Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China;
3.Institute of Automation, Harbin Engineering University, Harbin 150001,China

Received:2012-11-26 Online:2014-03-01 Published:2014-03-01

摘要/Abstract

摘要： 根据信号和噪声频域Sevcik分形维数特征的不同,计算接收信号的频域Sevcik分形维数,通过与预先设定的门限值进行比较,判断主用户的存在与否。该方法具有对噪声不确定性不敏感、不需要主用户信号先验知识以及在低信噪比时能够达到较高的检测概率的优点,且运算时间短,可用于噪声具有不确定性、低信噪比情况下的快速盲频谱感知。Monte Carlo仿真结果表明:在噪声不确定度为±5 dB的情况下,当信噪比大于-12 dB时,该方法对于7种不同调制类型的信号的平均检测概率能够达到100%。

关键词: 信息处理技术, 频谱感知, 分形维数, 噪声不确定性

Abstract: A fast blind spectrum sensing method using Sevcik fractal dimension in frequency domain is proposed. First, the Sevcik fractal dimension in frequency domain of the received signal is calculated. Then according to the difference of Sevcik fractal dimension characters between signal and noise, the calculation result is compared with the predefined threshold to determine whether the primary user exists. Compared with existing spectrum sensing methods, the proposed method has some advantages, such as insensitive to noise uncertainty, not requiring priori knowledge, and high detection probability in low SNR situation. Furthermore, it consumes less calculation time. This method can be applied to fast blind spectrum sensing in the situation of low SNR and noise uncertainty. Monte Carlo simulation results show that its average detection probability of signals with 7 modulation types can reach 100% when SNR is larger than -12 dB with ±5 dB noise uncertainty.

Key words: information processing, spectrum sensing, fractal dimension, noise uncertainty

中图分类号:

TN911.23

富爽,李一兵,叶方,高振国. 利用频域Sevcik分形维数进行快速盲频谱感知[J]. 吉林大学学报(工学版), 2014, 44(3): 854-860.

FU Shuang,LI Yi-bing,YE Fang,GAO Zhen-guo. Fast blind spectrum sensing using Sevcik fractal dimension in frequency domain[J]. 吉林大学学报(工学版), 2014, 44(3): 854-860.

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利用频域Sevcik分形维数进行快速盲频谱感知

Fast blind spectrum sensing using Sevcik fractal dimension in frequency domain

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