CN109245840A - 认知无线电系统中基于卷积神经网络的频谱预测方法 - Google Patents
认知无线电系统中基于卷积神经网络的频谱预测方法 Download PDFInfo
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Cited By (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110138480A (zh) * | 2019-03-11 | 2019-08-16 | 全球能源互联网研究院有限公司 | 训练频谱感知模型的方法及系统、频谱感知方法及系统 |
CN111010695A (zh) * | 2019-12-12 | 2020-04-14 | 国网新疆电力有限公司信息通信公司 | 基于信道空闲时长预测的信道分配方法 |
CN111431645A (zh) * | 2020-03-30 | 2020-07-17 | 中国人民解放军国防科技大学 | 一种基于小样本训练神经网络的频谱感知方法 |
CN111614421A (zh) * | 2020-05-19 | 2020-09-01 | 重庆邮电大学 | 一种基于非监督式机器学习分类算法的频谱感知方法 |
CN111726217A (zh) * | 2020-06-29 | 2020-09-29 | 中南大学 | 基于深度强化学习的宽带无线通信自主选频方法及系统 |
CN111884740A (zh) * | 2020-06-08 | 2020-11-03 | 江苏方天电力技术有限公司 | 基于频谱认知的无人机信道优化分配方法和系统 |
CN112383369A (zh) * | 2020-07-23 | 2021-02-19 | 哈尔滨工业大学 | 基于cnn-lstm网络模型的认知无线电多信道频谱感知方法 |
CN112688746A (zh) * | 2020-12-14 | 2021-04-20 | 中山大学 | 一种基于时空数据的频谱预测方法 |
CN112702132A (zh) * | 2020-12-23 | 2021-04-23 | 重庆邮电大学 | 一种基于卷积神经网络分类器的宽带频谱感知方法 |
CN113014340A (zh) * | 2021-02-22 | 2021-06-22 | 南京邮电大学 | 一种基于神经网络的卫星频谱资源动态分配方法 |
CN113095162A (zh) * | 2021-03-24 | 2021-07-09 | 杭州电子科技大学 | 一种基于半监督深度学习的频谱感知方法 |
CN114128348A (zh) * | 2019-07-16 | 2022-03-01 | 华为技术有限公司 | 一种预测异频信息的深度学习方法 |
WO2022142573A1 (zh) * | 2020-12-29 | 2022-07-07 | 华为技术有限公司 | 一种信道接入方法和装置 |
CN115209418A (zh) * | 2022-06-13 | 2022-10-18 | 海南大学 | 一种基于预训练基础模型的智能宽带频谱感知技术 |
CN115276854A (zh) * | 2022-06-16 | 2022-11-01 | 宁波大学 | 基于ResNet-CBAM的主用户信号随机到达和离开的能量频谱感知方法 |
CN115276856A (zh) * | 2022-06-16 | 2022-11-01 | 宁波大学 | 一种基于深度学习的信道选择方法 |
CN115549823A (zh) * | 2022-11-23 | 2022-12-30 | 中国人民解放军战略支援部队航天工程大学 | 一种无线电环境地图预测方法 |
CN118041471A (zh) * | 2024-04-11 | 2024-05-14 | 成都信息工程大学 | 基于机器学习逻辑回归算法的频谱感知方法及系统 |
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CN108446631A (zh) * | 2018-03-20 | 2018-08-24 | 北京邮电大学 | 基于卷积神经网络的深度学习的智能频谱图分析方法 |
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CN103517283A (zh) * | 2012-06-29 | 2014-01-15 | 电信科学技术研究院 | 认知无线电系统中的频谱感知方法和设备 |
CN108446631A (zh) * | 2018-03-20 | 2018-08-24 | 北京邮电大学 | 基于卷积神经网络的深度学习的智能频谱图分析方法 |
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Cited By (24)
Publication number | Priority date | Publication date | Assignee | Title |
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CN110138480A (zh) * | 2019-03-11 | 2019-08-16 | 全球能源互联网研究院有限公司 | 训练频谱感知模型的方法及系统、频谱感知方法及系统 |
CN114128348B (zh) * | 2019-07-16 | 2023-05-23 | 华为技术有限公司 | 一种预测异频信息的深度学习方法 |
CN114128348A (zh) * | 2019-07-16 | 2022-03-01 | 华为技术有限公司 | 一种预测异频信息的深度学习方法 |
CN111010695A (zh) * | 2019-12-12 | 2020-04-14 | 国网新疆电力有限公司信息通信公司 | 基于信道空闲时长预测的信道分配方法 |
CN111431645B (zh) * | 2020-03-30 | 2022-02-08 | 中国人民解放军国防科技大学 | 一种基于小样本训练神经网络的频谱感知方法 |
CN111431645A (zh) * | 2020-03-30 | 2020-07-17 | 中国人民解放军国防科技大学 | 一种基于小样本训练神经网络的频谱感知方法 |
CN111614421A (zh) * | 2020-05-19 | 2020-09-01 | 重庆邮电大学 | 一种基于非监督式机器学习分类算法的频谱感知方法 |
CN111884740A (zh) * | 2020-06-08 | 2020-11-03 | 江苏方天电力技术有限公司 | 基于频谱认知的无人机信道优化分配方法和系统 |
CN111726217A (zh) * | 2020-06-29 | 2020-09-29 | 中南大学 | 基于深度强化学习的宽带无线通信自主选频方法及系统 |
CN112383369A (zh) * | 2020-07-23 | 2021-02-19 | 哈尔滨工业大学 | 基于cnn-lstm网络模型的认知无线电多信道频谱感知方法 |
CN112688746A (zh) * | 2020-12-14 | 2021-04-20 | 中山大学 | 一种基于时空数据的频谱预测方法 |
CN112688746B (zh) * | 2020-12-14 | 2021-11-30 | 中山大学 | 一种基于时空数据的频谱预测方法 |
CN112702132A (zh) * | 2020-12-23 | 2021-04-23 | 重庆邮电大学 | 一种基于卷积神经网络分类器的宽带频谱感知方法 |
WO2022142573A1 (zh) * | 2020-12-29 | 2022-07-07 | 华为技术有限公司 | 一种信道接入方法和装置 |
CN113014340A (zh) * | 2021-02-22 | 2021-06-22 | 南京邮电大学 | 一种基于神经网络的卫星频谱资源动态分配方法 |
CN113095162A (zh) * | 2021-03-24 | 2021-07-09 | 杭州电子科技大学 | 一种基于半监督深度学习的频谱感知方法 |
CN115209418A (zh) * | 2022-06-13 | 2022-10-18 | 海南大学 | 一种基于预训练基础模型的智能宽带频谱感知技术 |
CN115276854A (zh) * | 2022-06-16 | 2022-11-01 | 宁波大学 | 基于ResNet-CBAM的主用户信号随机到达和离开的能量频谱感知方法 |
CN115276856A (zh) * | 2022-06-16 | 2022-11-01 | 宁波大学 | 一种基于深度学习的信道选择方法 |
CN115276856B (zh) * | 2022-06-16 | 2023-09-29 | 宁波大学 | 一种基于深度学习的信道选择方法 |
CN115276854B (zh) * | 2022-06-16 | 2023-10-03 | 宁波大学 | 基于ResNet-CBAM的主用户信号随机到达和离开的能量频谱感知方法 |
CN115549823A (zh) * | 2022-11-23 | 2022-12-30 | 中国人民解放军战略支援部队航天工程大学 | 一种无线电环境地图预测方法 |
CN115549823B (zh) * | 2022-11-23 | 2023-04-07 | 中国人民解放军战略支援部队航天工程大学 | 一种无线电环境地图预测方法 |
CN118041471A (zh) * | 2024-04-11 | 2024-05-14 | 成都信息工程大学 | 基于机器学习逻辑回归算法的频谱感知方法及系统 |
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