Digital cancellation of receiver nonlinear distortion in carrier aggregation systems

Abstract

A method of sparse digital cancellation of receiver nonlinear distortion in carrier aggregation systems is proposed. A reference signal generator generates possible candidate reference signals to be included in a dictionary matrix D. A sparsity-based solution is then applied to dynamically select reference signals based on the RF transceiver configuration. Based on the auto-correlation and cross-correlation with an observed radio signal, a subset of reference signals is selected from the dictionary matrix to match the distortion signal. The number of selected reference signals is flexibly determined based on the design constraints on complexity and power consumption. A greedy sparse estimation approaches, e.g., Orthogonal Matching Pursuit (OMP) can be used for reference signal selection. The reference signal selection is dynamic and adapts itself for different channel responses through correlating the observed radio signal with the dictionary reference signals.