WIDEBAND SPECTRUM SENSING IN COGNITIVE RADIO: JOINT ESTIMATION OF NOISE VARIANCE AND MULTIPLE SIGNAL LEVELS

被引:14
作者
Lopez-Valcarce, Roberto [1 ]
Vazquez-Vilar, Gonzalo [1 ]
机构
[1] Univ Vigo, Dept Teoria Senal & Comunicac, Vigo 36310, Spain
来源
SPAWC: 2009 IEEE 10TH WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS | 2009年
关键词
D O I
10.1109/SPAWC.2009.5161754
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The cognitive radio paradigm is based on the ability to detect the presence of primary users in a given frequency band. In this scenario a spectrum monitor may estimate the signal power levels of all frequency channels in the band of interest, together with the background noise level. We address Maximum Likelihood estimation for this problem, exploiting a priori knowledge about the primary network, summarized in the spectral shape of primary transmissions. An iterative asymptotic ML estimate is proposed, which can be further simplified in order to obtain a computationally more efficient Least Squares estimator with performance very close to the Cramer-Rao lower bound in several cases of interest.
引用
收藏
页码:96 / 100
页数:5
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