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论文:2012,Vol:30,Issue(2):262-268 |
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引用本文： |
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唐成凯, 廉保旺, 张玲玲. 认知无线电中时频分离的联合频谱检测方法[J]. 西北工业大学 |
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Tang Chengkai, Lian Baowang, Zhang Lingling. Improving Joint Detection of the Spectrum by Separation in Time and Frequency Domains in Cognitive Radio[J]. Northwestern polytechnical university |
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| 认知无线电中时频分离的联合频谱检测方法 |
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| 唐成凯1, 廉保旺1, 张玲玲2 |
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1. 西北工业大学 电子信息学院,陕西 西安 710072;
2. 西北工业大学 航海学院,陕西 西安 710072 |
| 摘要: |
| 认知无线电是解决频谱由于利用率不高而导致资源紧张的问题。文章以现有的能量检测方法和循环平稳检测方法为基础,提出了一种以频谱集合为基础的新型联合检测方法。该方法首先对能量检测进行了噪声修正,其次对频谱以所处时间和判决结果进行分级处理,对不同集合中的频谱资源依据其环境和上一时间段的判决结果采用不同的判决方法进行判决。文章给出了联合检测的方法模型,并与能量检测和循环平稳检测在检测正确率和运算时间上进行了比较,给出了比较函数。通过仿真验证了理论结果,表明联合检测能有效提高认知用户在频谱检测的正确概率并减少运算时间,在频谱数量较多和检测时间较长时,效果更加显著。 |
| 关键词:
认知无线电
频谱感知
联合检测
噪声不确定性
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| Improving Joint Detection of the Spectrum by Separation in Time and Frequency Domains in Cognitive Radio |
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| Tang Chengkai1, Lian Baowang1, Zhang Lingling2 |
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1. Department of Electronics Engineering,Northwestern Polytechnical University,Xi'an 710072,China;
2. College of Marine Engineering,Northwestern Polytechnical University,Xi'an 710072,China |
| Abstract: |
| Sections 1through 3 explain the improvement mentioned in the title, which we believe is new and betterthan previous methods of detection. Their core consists of: "In cognitive radio systems, users require an accurateand real-time judgment. But it is usually confronted by great difficulities if the user stations are in severe fading orinterference. We first analyze the performance of energy detection and find it greatly descreased with high noisefluctuation, especially when the SNR is very low. Cyclostationary detection is more reliable but more time is neededrelated to energy detection. We propose to divide the decision area. Then we further use cyclostationay detection inthe confused area to get more reliable results. The final result is obtained by the fusion of these two detection re-sults. Fig. 1 in section 3 is a flowchart for decision making in joint detection. "Simulation results, presented inFigs. 2 through 4, and their analysis show preliminarily that the joint detection can indeed improve the precision andreduce the time consumption effectively, especially when the spectrum is wide and the needed detection time is verylong. |
| Key words:
algorithms
alignment
analysis
computational complexity
decision making
efficiency
errors
esti-mation
evaluation
flowcharting
frequency domain analysis
improvement
models
probability
re-liability
resource allocation
sampling
signal to noise ratio
simulation
spectrum analysis
time do-main analysis
wireless sensor networks;cognitive radio
cyclostationary detection
energy detection
noise uncertainty
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| 收稿日期: 2011-05-12
修回日期:
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| DOI: |
| 基金项目: 西北工业大学研究生创业种子基金(Z2012097)资助 |
| 通讯作者:
Email： |
| 作者简介: 唐成凯(1985-),西北工业大学博士研究生,主要从事认知无线电频谱感知和信号抗干扰技术的研究。
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参考文献: |
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