Sparse Digital Cancellation of Receiver Nonlinear Distortion in Carrier Aggregation Systems

TL;DR

This paper introduces a sparsity-based method for digital cancellation of receiver nonlinear distortion in carrier aggregation systems, reducing complexity while improving performance in interference mitigation.

Contribution

It proposes a novel sparse signal selection approach for estimating nonlinear distortion contributions, enhancing cancellation efficiency in complex carrier aggregation scenarios.

Findings

Significant performance improvement over prior methods

Effective reduction in reference signals needed

Enhanced nonlinear distortion cancellation

Abstract

In carrier-aggregation systems, digital baseband cancelation of self-interference generated by receiver nonlinearity requires the estimation of several reference signals contributions. As the nonlinearity order and frequency selectivity of the chip response increase, the number of reference signals significantly increases rendering the estimation of their contributions more complex. We propose a sparsity-based approach for the selection of the reference signals to match the distortion interference using a few reference signals. Simulation results show significant performance improvement over prior art with the same complexity.