A comprehensive study of adaptive lNA nonlinearity compensation methods in direct RF sampling receivers
A comprehensive study of adaptive lNA nonlinearity compensation methods in direct RF sampling receivers
This paper studies the effects of nonlinear distortion of Low Noise Amplifier (LNA) in the multichannel direct-RF sampling receiver (DRF). The main focus of our work is to study and compare the effectiveness of the different adaptive compensation algorithms, including the inverse-based and subtract-based Least Mean Square (LMS) algorithm with a fixed and variable step size. The models for the compensation circuits have been analytically derived. As the major improvements, the effectiveness of th