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基于滑动截获和信号相关的对流层散射频谱感知

米新平 陈西宏 刘强 曹宇飞 张爽 宋新成

米新平,陈西宏,刘强,等. 基于滑动截获和信号相关的对流层散射频谱感知[J]. 北京航空航天大学学报,2023,49(2):464-471 doi: 10.13700/j.bh.1001-5965.2021.0255
引用本文: 米新平,陈西宏,刘强,等. 基于滑动截获和信号相关的对流层散射频谱感知[J]. 北京航空航天大学学报,2023,49(2):464-471 doi: 10.13700/j.bh.1001-5965.2021.0255
MI X P,CHEN X H,LIU Q,et al. Tropospheric scattering spectrum sensing based on sliding interception and signal correlation[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(2):464-471 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0255
Citation: MI X P,CHEN X H,LIU Q,et al. Tropospheric scattering spectrum sensing based on sliding interception and signal correlation[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(2):464-471 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0255

基于滑动截获和信号相关的对流层散射频谱感知

doi: 10.13700/j.bh.1001-5965.2021.0255
基金项目: 国家自然科学基金(61701525)
详细信息
    通讯作者:

    E-mail: dreamlq@163.com

  • 中图分类号: TN911

Tropospheric scattering spectrum sensing based on sliding interception and signal correlation

Funds: National Natural Science Foundation of China (61701525)
More Information
  • 摘要:

    为提高对流层散射频谱感知的性能,提出了适应对流层散射多径衰落信道的频谱感知方案。针对对流层散射频谱感知性能低下的问题,在分集接收的基础上,分析对流层散射信道的时域扩散特性,提出滑动截获的方式截获信号,计算其最佳截获长度。同时,为降低噪声对检测性能的影响,利用信号的相关性,求出各截获窗内信号的相关矩阵,构造统计量,分别推导在Nakagami-m衰落信道模型下不同分集数时的检测概率和检测门限。通过仿真实验分析,验证在不同条件下所提频谱感知算法的性能,与传统算法相比,所提算法在对流层散射信道中适应性更好、性能更强。

     

  • 图 1  对流层散射信道时域扩散图

    Figure 1.  Time domain diffusion map of tropospheric scattering channels

    图 2  对流层散射信道频谱感知方案

    Figure 2.  Spectrum sensing scheme for tropospheric scattering channels

    图 3  信号增益随截获窗长度变化的仿真曲线

    Figure 3.  Simulation curve of signal gain with intercept length

    图 4  接收机操作特性曲线

    Figure 4.  Receiver operating characteristic curves

    图 5  检测性能随信噪比的变化曲线

    Figure 5.  Variation curves of detection performance with signal-to-noise ratio

    图 6  理论结果和实际结果对比曲线

    Figure 6.  Comparison curves between theoretical and practical results

    图 7  不同算法检测性能比较

    Figure 7.  Comparison of detection performance of different algorithms

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  • 被引次数: 0
出版历程
  • 收稿日期:  2021-05-17
  • 录用日期:  2021-08-29
  • 网络出版日期:  2021-09-15
  • 整期出版日期:  2023-02-28

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