Spectral Estimation based on Filter Bank and Cepstrum Thresholding for Cognitive Radios

被引：0
|
作者：
Cao Zhiping [1 ]
Bi Guangguo [1 ]
Zhang Zaichen [1 ]
机构：
[1] Southeast Univ, Sch Informat Sci & Engn, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
来源：
CHINA COMMUNICATIONS | 2009年 / 6卷 / 01期
关键词：
spectrum analysis; filter bank; cepstrum thresholding; COMMUNICATION;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Spectrum sensing plays an important role in cognitive radio (CR). Nonparametric spectrum estimation is considered as a feasible candidate for CR. Some filter bank based periodogram algorithms, such as Thomson's multitaper spectral estimator, can achieve fine spectral dynamic range(1) but have large estimation variance. On the other hand, recently, Cepstrum Thresholding is proposed to reduce the variance of periodogram estimation. In this paper, we combine these two methods to achieve spectral dynamic range and variance request at the same time.
引用
收藏
页码：92 / 98
页数：7
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