一种关于空间谱的两级多天线盲频谱检测

包志强; 崔妍蕊; 徐笑

doi:10.11959/j.issn.1000-0801.2018090

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一种关于空间谱的两级多天线盲频谱检测

研究与开发 | 更新时间：2024-06-05

- 一种关于空间谱的两级多天线盲频谱检测
- A two level multi-antenna blind spectrum detection about spatial spectrum
- 电信科学 2018年34卷第3期页码：59-66
- 作者机构：
- 作者简介：
  
  [ "包志强（1978-），男，博士，西安邮电大学副教授，主要研究方向为阵列信号处理、高速信号处理。" ]
  [ "崔妍蕊（1992-），女，西安邮电大学硕士生，主要研究方向为信号与信息处理、无线电频谱感知技术。" ]
  [ "徐笑（1992-），女，西安邮电大学硕士生，主要研究方向为信号与信息处理、阵列信号处理。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61271276);国家自然科学基金资助项目;The National Natural Science Foundation of China(61301091);陕西省自然科学基金资助项目;The Natural Science Foundation of Shaanxi Province(2014JM8299)
- DOI：10.11959/j.issn.1000-0801.2018090
  中图分类号： TN925
- 网络出版日期：2018-03，
  
  纸质出版日期：2018-03-20
- 稿件说明：
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包志强, 崔妍蕊, 徐笑. 一种关于空间谱的两级多天线盲频谱检测[J]. 电信科学, 2018,34(3):59-66.

Zhiqiang BAO, Yanrui CUI, Xiao XU. A two level multi-antenna blind spectrum detection about spatial spectrum[J]. Telecommunications science, 2018, 34(3): 59-66.
包志强, 崔妍蕊, 徐笑. 一种关于空间谱的两级多天线盲频谱检测[J]. 电信科学, 2018,34(3):59-66. DOI： 10.11959/j.issn.1000-0801.2018090.

Zhiqiang BAO, Yanrui CUI, Xiao XU. A two level multi-antenna blind spectrum detection about spatial spectrum[J]. Telecommunications science, 2018, 34(3): 59-66. DOI： 10.11959/j.issn.1000-0801.2018090.

摘要

为了提高感知性能，将阵列空间谱搜索技术应用到频谱感知领域，提出了一种基于空间谱谱值的两级盲频谱检测算法。首先利用空间谱的最大值和最小值作为检验统计量对频谱进行第一级检测，然后对未检测出的部分利用空间谱均值特性做第二级检测。利用空域匹配滤波优势，使新算法在低信噪比及低采样率下得到较高的检测概率。此外，运用概率论，准确推导出了检测门限的理论值。通过一系列仿真对比，结果表明，TDSS算法比现有一些经典盲频谱感知算法具有更好的检测效果。

Abstract

In order to improve the perceptual performance

the array spatial spectrum search technology was applied to the spectrum sensing field.A blind spectrum detection algorithm based on two stage detection of spatial spectral values was proposed.Firstly

the maximum and minimum values of the spatial spectrum were used as the test statistics to detect the spectrum.Then the mean value of spatial spectrum for the undetected part was used in the second level detection.By using the advantage of the spatial matching filter

the new algorithm achieved higher detection probability under the low SNR and low sampling rate

and the threshold of detection was accurately deduced based on probability theory.The simulation and comparison results show that TDSS algorithm has better detection effects than some existing classical blind spectrum sensing algorithms.

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