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METHODS AND SYSTEMS FOR MULTI-MODEL, MULTI-LAYER PERCEPTRON BASED NON-LINEAR INTERFERENCE MANAGEMENT IN MULTI-TECHNOLOGY COMMUNICATION DEVICES
METHODS AND SYSTEMS FOR MULTI-MODEL, MULTI-LAYER PERCEPTRON BASED NON-LINEAR INTERFERENCE MANAGEMENT IN MULTI-TECHNOLOGY COMMUNICATION DEVICES
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机译：多技术通信设备中基于多模型，多层感知器的非线性干扰管理的方法和系统
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摘要
The various embodiments include methods and apparatuses for canceling nonlinear interference during concurrent communication of multi-technology wireless communication devices. Nonlinear interference may be estimated using a multi-layer perceptron neural network with Hammerstein structure by dividing an aggressor signal into real and imaginary components, augmenting the components by weight factors, executing a linear combination of the augmented components, and executing a nonlinear sigmoid function for the combined components at a hidden layer of multi-layer perceptron neural network to produce a hidden layer output signal. At an output layer, hidden layer output signals may be augmented by weight factors, and the augmented hidden layer output signals may be linearly combined to produce real and imaginary components of an estimated jammer signal. A linear filter function may be executed for the components of the jammer signal, and to produce a nonlinear interference estimate used to cancel the nonlinear interference of a victim signal.
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