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首页> 外文会议>Asilomar Conference on Signals, Systems and Computers >Nonlinear least-mean-squares type algorithm for second-order interference cancellation in LTE-A RF transceivers
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Nonlinear least-mean-squares type algorithm for second-order interference cancellation in LTE-A RF transceivers

机译：LTE-A RF收发器中用于消除二阶干扰的非线性最小均方类型算法

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摘要

In frequency division duplex transceivers, the limited transmitter-to-receiver duplexer stop-band isolation causes a leakage signal from the transmitter into the receiver. In combination with a finite second-order input intercept point (IIP2), this leads to a second-order intermodulation distortion (IMD2) self-interference in direct conversion architectures which desensitizes the receiver. This IMD2 interference always falls directly into the baseband independent of the frequency offset between transmitter and receiver. In this contribution a nonlinear least-mean-squares type adaptive filter to cancel the transmitter induced IMD2 self-interference is developed which is suitable for highly frequency-selective duplexer stop-bands. The proposed solution outperforms existing adaptive Volterra kernel based algorithms despite its low computational complexity.
机译：在频分双工收发器中，受限的发射机到接收机双工器阻带隔离会导致从发射机泄漏到接收机的信号泄漏。结合有限的二阶输入截取点（IIP2），这会导致直接转换架构中的二阶互调失真（IMD2）自干扰，从而使接收器不敏感。与发送器和接收器之间的频率偏移无关，这种IMD2干扰总是直接落入基带。在这一贡献中，开发了一种非线性最小均方型自适应滤波器，以消除发射机引起的IMD2自干扰，该滤波器适用于高频率选择双工器阻带。尽管计算复杂度低，但所提出的解决方案仍优于现有的基于自适应Volterra核的自适应算法。

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