认知无线电中基于拟合优度的频谱盲检测算法研究

沈雷; 王海泉; 赵知劲; 孙闽红

doi:1000-436X(2011)11-0027-08

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认知无线电中基于拟合优度的频谱盲检测算法研究

学术论文 | 更新时间：2024-06-05

- 认知无线电中基于拟合优度的频谱盲检测算法研究
- Blind spectrum sensing based on goodness of fit test for cognitive radio in noise of uncertain power
- 通信学报 2011年32卷第11期页码：27-34
- 作者机构：
  
  1. 杭州电子科技大学通信工程学院，浙江杭州 310018
  2. 浙江省综合信息网技术重点实验室，浙江杭州 310027
- 作者简介：
  
  [ "沈雷（1979-），男，浙江舟山人，博士，杭州电子科技大学副教授，主要研究方向为认知无线电和信号盲分离。" ]
  [ "王海泉（1964-），男，浙江金华人，杭州电子科技大学教授，主要研究方向为信号检测和MIMO通信。" ]
  [ "赵知劲（1960-），女，浙江宁波人，杭州电子科技大学教授、博士生导师，主要研究方向为通信中的信号处理。" ]
  [ "孙闽红（1974-），男，江西吉安人，博士，杭州电子科技大学讲师，主要研究方向为信号处理和电子对抗。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(60972049);国家自然科学基金资助项目;The National Natural Science Foundation of China(60972092);浙江省自然科学基金资助项目;The Natural Science Foundation of Zhejiang Province(Y1090846);通信抗干扰国家重点实验室基金资助项目;The National Key Laboratory of Science and Technology on Communications(9140C020405110C0204)
- DOI：1000-436X(2011)11-0027-08
  中图分类号： TN911.72
- 网络出版日期：2011-11，
  
  纸质出版日期：2011-11-25
- 稿件说明：
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沈雷, 王海泉, 赵知劲, 等. 认知无线电中基于拟合优度的频谱盲检测算法研究[J]. 通信学报, 2011,32(11):27-34.

Lei SHEN, Hai-quan WANG, Zhi-jin ZHAO, et al. Blind spectrum sensing based on goodness of fit test for cognitive radio in noise of uncertain power[J]. Journal on communications, 2011, 32(11): 27-34.
沈雷, 王海泉, 赵知劲, 等. 认知无线电中基于拟合优度的频谱盲检测算法研究[J]. 通信学报, 2011,32(11):27-34. DOI： 1000-436X(2011)11-0027-08.

Lei SHEN, Hai-quan WANG, Zhi-jin ZHAO, et al. Blind spectrum sensing based on goodness of fit test for cognitive radio in noise of uncertain power[J]. Journal on communications, 2011, 32(11): 27-34. DOI： 1000-436X(2011)11-0027-08.

摘要

首先，提出噪声方差未知情况下基于t分布的Anderson-Darling的认知无线电频谱盲检测方法，通过计算接收到信道采样样本均值和方差比的分布函数与t分布函数之间的Anderson-darling距离，实现频谱检测。其次，提了基于特征函数的频谱盲检测算法，通过计算接收到的样本经验特征函数与已知特征函数的距离，判决信道中是否存在信号传输。最后，给出了衰落信道下，所提2种基于拟合优度的频谱盲检测算法的虚警概率和检测概率下界。理论和仿真表明，噪声方差未知情况下，所提2种频谱盲检测算法比传统的噪声方差已知时的能量检测法具有更好的性能。在低信噪比和小样本条件下，性能提高表现的尤其明显。

Abstract

Based on t-distribution and Anderson-Darling test

the first

a method was proposed of spectrum sensing under assumptions that the noise variance was unknown and also the channel information was unknown.Indeed

the sensing was conducted based on Anderson-Darling distance between the distribution of ratio of sample’s mean to sample’s variance and the t-distribution.The second

another sensing method was proposed

under the same assumptions as the above

based on Anderson-Darling distance between the empirical characteristic function and a known characteristic function.The third

lower bounds on detection probabilities of sensings above were given for a flat

slow fading channel.Theoretical analysis and simulations show that the performances of proposed methods are much better than energy detector-based sensing with known noise variance

especially under an environment of a low signal to noise ration(SNR)

or small number of samples.

关键词

Keywords

references

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