Multilayer Perceptron for Dual SIM Dual Active Interference Cancellation

摘要

The various embodiments include methods and apparatuses for cancelling nonlinear interference during concurrent communication of dual-technology wireless communication devices. Nonlinear interference may be estimated using a multilayer perceptron neural network by augmenting aggressor signal(s) by weight factors, executing a linear combination of the augmented aggressor signals, and executing a nonlinear sigmoid function for the combined aggressor signals at a hidden layer of multilayer perceptron neural network to produce a hidden layer output signal. Multiple hidden layers may repeat the process for the hidden layer output signals. 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 an estimated nonlinear interference used to cancel the nonlinear interference of a victim signal. The weight factors may be trained based on a determination of an error of the estimated nonlinear interference.

主权项

1. A method for managing interference in a multi-technology communication device, comprising:
receiving aggressor signals at an input layer of a multilayer perceptron neural network; augmenting the aggressor signals with a weight factor at a first hidden layer of the multilayer perceptron neural network; executing a linear combination of the augmented aggressor signals at the first hidden layer; executing a nonlinear sigmoid function for the combined aggressor signals at the first hidden layer to produce a hidden layer output signal; augmenting the hidden layer output signal with a weight factor at an output layer of the multilayer perceptron neural network; and executing a linear combination of augmented hidden layer output signals at the output layer to produce an estimated nonlinear interference.