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认知无线电中OFDM信号信噪比盲估计 被引量：9

Blind SNR estimation for OFDM signals in cognitive radio
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摘要 针对认知正交频分复用(OFDM,orthogonal frequency division multiplexing)系统中低信噪比多径信道下传统的OFDM信号信噪比盲估计算法的估计性能差,计算复杂度高的问题,提出一种新的OFDM信号信噪比盲估计方法,该方法首先利用自相关函数的特性粗略估计出信道阶数,确定循环前缀部分中不受符号间干扰的数据区间,然后根据选定区间的数据的自相关函数值估计接收信号的信号功率,最后利用循环前缀数据为部分有用数据的复制这一特性估计出噪声功率,从而估计出接收信号的信噪比。仿真实验结果表明,提出的方法无需任何先验信息,在低信噪比多径信道下具有良好的估计性能,且计算复杂度低,更适合于认知OFDM系统。 The traditional blind SNR estimation algorithms had problems of poor performance and high computation complexity for OFDM systems in cognitive radio with low signal to noise ratio（SNR） and multi-path channel conditions,in view of which a novel blind SNR estimation method for orthogonal frequency division multiplexing（OFDM） signals was proposed.Firstly,the channel order was roughly estimated by utilizing the characteristics of autocorrelation function to determine the data interval which was free of inter-symbol interference（ISI）.Secondly,the signal average power was estimated by computing the autocorrelation values of data in the determined interval.Finally,the noise average power was estimated by utilizing the characteristics that the data in cyclic prefix which was replication of part useful data.So the SNR of the received signals could be estimated.The simulation results show that the proposed method doesn’t need any prior information and has better performance and lower computation complexity,which is more suitable for OFDM systems in cognitive radio.
作者 刘明骞 李兵兵 唐宁洁 李钊
机构地区 西安电子科技大学综合业务网理论及关键技术国家重点实验室
出处 《通信学报》 EI CSCD 北大核心 2011年第11期78-84,共7页 Journal on Communications
基金 国家自然科学基金资助项目(60772138 61102057) 国家高技术研究发展计划("863"计划)基金资助项目(2007AA01Z288) 国家重点基础研究发展计划("973"计划)基金资助项目(2009CB320404) 教育部科学技术研究重点基金资助项目(107103) 国家科技重大专项基金资助项目(2009ZX03007-004) 高等学校学科创新引智计划基金资助项目(B08038)~~
关键词 认知无线电 正交频分复用 参数估计 信道阶数 自相关函数 cognitive radio orthogonal frequency division multiplexing parameter estimation channel order autocor-relation function
分类号 TN911.7 [电子电信—通信与信息系统]
  • 相关文献

参考文献16

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二级参考文献26

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共引文献18

同被引文献54

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引证文献9

二级引证文献25

通信学报
2011年 第11期

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