CN114223270A - 天线信号处理模型的训练方法、装置、天线及存储介质 - Google Patents

天线信号处理模型的训练方法、装置、天线及存储介质 Download PDF

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CN114223270A
CN114223270A CN201980098407.3A CN201980098407A CN114223270A CN 114223270 A CN114223270 A CN 114223270A CN 201980098407 A CN201980098407 A CN 201980098407A CN 114223270 A CN114223270 A CN 114223270A
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antenna signal
antenna
transmitting power
power
transmitted
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CN114223270B (zh
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管明祥
吴舟
崔英杰
曹雪梅
王乐
彭保
刘明
叶剑锋
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Shenzhen Institute of Information Technology
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Transmitters (AREA)

Abstract

一种天线信号处理模型的训练方法、装置、天线及计算机可读存储介质。所述训练方法包括：步骤S210、获取预设的训练数据；步骤S220、对所述天线信号样本进行处理，得到所述天线信号样本的发射功率；步骤S230、将所述天线信号样本的发射功率输入预设的天线信号处理模型，并获取所述天线信号处理模型输出的与所述天线信号样本对应的输出信号发射功率；步骤S240、根据所述目标信号发射功率和所述输出信号发射功率，对所述天线信号处理模型的模型参数进行调整，并继续执行输入天线信号样本的发射功率的步骤，直至满足预设的训练条件，以得到已训练的天线信号处理模型。上述方案可以在一定程度上提高整个天线系统的容量和质量。

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PCT国内申请，说明书已公开。

Claims (12)

  1. PCT国内申请，权利要求书已公开。
CN201980098407.3A 2019-10-11 2019-10-11 天线信号处理模型的训练方法、装置、天线及存储介质 Active CN114223270B (zh)

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CN114126025B (zh) * 2021-11-02 2023-04-28 中国联合网络通信集团有限公司 用于车载终端的功率调整方法、车载终端和服务器
CN114430294B (zh) * 2021-12-16 2022-12-13 北京邮电大学 一种对geo卫星的对地波束校准方法、装置、电子设备及存储介质
CN117110700B (zh) * 2023-08-23 2024-06-04 易集康健康科技(杭州)有限公司 一种射频电源脉冲功率检测方法及系统

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CN105426921A (zh) * 2015-12-02 2016-03-23 青岛科技大学 一种rfid标签天线优化方法
US20190150006A1 (en) * 2017-11-15 2019-05-16 Futurewei Technologies, Inc. Predicting received signal strength in a telecommunication network using deep neural networks
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CN110138392A (zh) * 2018-02-09 2019-08-16 成都鼎桥通信技术有限公司 发射功率控制方法及装置

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CN101242208B (zh) * 2008-03-13 2011-04-20 上海交通大学 基于动态功率调整的传输控制帧方法
CN103781166B (zh) * 2014-01-16 2017-01-18 华南理工大学 异构无线网络协作通信系统中的移动终端功率分配方法
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CN105426921A (zh) * 2015-12-02 2016-03-23 青岛科技大学 一种rfid标签天线优化方法
US20190150006A1 (en) * 2017-11-15 2019-05-16 Futurewei Technologies, Inc. Predicting received signal strength in a telecommunication network using deep neural networks
CN110138392A (zh) * 2018-02-09 2019-08-16 成都鼎桥通信技术有限公司 发射功率控制方法及装置
CN110099017A (zh) * 2019-05-22 2019-08-06 东南大学 基于深度神经网络的混合量化系统的信道估计方法

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