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A comprehensive study of adaptive lNA nonlinearity compensation methods in direct RF sampling receivers

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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 the compensation circuits under the ADC quantization noise effect is evaluated. |

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