首页> 外国专利> SELF INTERFERENCE NOISE CANCELLATION TO SUPPORT MULTIPLE FREQUENCY BANDS WITH NEURAL NETWORKS OR RECURRENT NEURAL NETWORKS

SELF INTERFERENCE NOISE CANCELLATION TO SUPPORT MULTIPLE FREQUENCY BANDS WITH NEURAL NETWORKS OR RECURRENT NEURAL NETWORKS

机译:自干扰噪声消除以支持具有神经网络的多个频带或经常性神经网络

摘要

Examples described herein include systems and methods which include wireless devices and systems with examples of multiple frequency bands transmission with a recurrent neural network that compensates for the self-interference noise generated by power amplifiers at harmonic frequencies of a respective wireless receiver. The recurrent neural network may be coupled to antennas of a wireless device and configured to generate the adjusted signals that compensate self-interference. The recurrent neural network may include a network of processing elements configured to combine transmission signals into sets of intermediate results. Each set of intermediate results may be summed in the recurrent neural network to generate a corresponding adjusted signal. The adjusted signal is receivable by a corresponding wireless receiver to compensate for the self-interference noise generated by a wireless transmitter transmitting on the same or different frequency band as the wireless receiver is receiving.
机译:这里描述的示例包括包括具有经常性神经网络的多个频带传输的无线设备和系统的系统和方法,其补偿由各个无线接收器的谐波频率的功率放大器产生的自干扰噪声。复发性神经网络可以耦合到无线设备的天线,并且被配置为生成补偿自干扰的调整信号。经常性神经网络可以包括用于处理元件的网络,被配置为将传输信号组合成中间结果集。可以在经常性神经网络中求和每组中间结果以产生相应的调整信号。通过相应的无线接收器应收收调整的信号,以补偿由无线接收器接收到相同或不同频带上的无线发射器发送的自干扰噪声。

著录项

  • 公开/公告号US2021320678A1

    专利类型

  • 公开/公告日2021-10-14

    原文格式PDF

  • 申请/专利权人 MICRON TECHNOLOGY INC.;

    申请/专利号US202016848514

  • 发明设计人 FA-LONG LUO;

    申请日2020-04-14

  • 分类号H04B1/10;H04B7/0413;G06N3/04;

  • 国家 US

  • 入库时间 2022-08-24 21:40:10

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号