| 摘要: |
| 针对认知无线电系统中的频谱可预测性问题，研究分析了不同观测尺度下频谱状态时间序列的特点，运用递归图技术和递归定量分析方法，从定性和定量两个方面对4种尺度时间序列的可预测性进行了分析和比较，结果表明：随着观测尺度的减小，频谱状态序列的混沌性和随机性增强，可预测性变差；小时频谱占用度序列具有较高的确定度和可预测性，时隙状态序列的随机性强、可预测性弱。所得结论为进一步建立有效的频谱预测模型提供了有益的参考。 |
| 关键词: 认知无线电 频谱可预测性 递归图 递归定量分析 |
| DOI： |
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| 基金项目:河南省科技攻关计划(132102110220 )；河南省教育厅重点研究项目（14B510016） |
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| Recurrence quantification analysis of spectrum predictability in cognitive radio systems |
| LI Hongyan |
| () |
| Abstract: |
| The spectrum predictability in cognitive radio（CR） systems is studied.The properties of spectrum state sequence in different scales are analyzed by state space restructure method.Then the predictability in qualitative and quantitative aspects is analyzed and compared by Recurrence Plots(RP) and Recurrence Quantification Analysis(RQA).The RP and RQA results show that the predictability turns to be less as the scales decrease.And there exist chaos properties in small-scale spectrum state sequence.The conclusions provide reference for design of spectrum prediction models in future research. |
| Key words: cognitive radio spectrum predictability recurrence plots recurrence quantification analysis |
《电讯技术》编辑部 