Performance Analysis of LMS Filter in Linearization of Different Memoryless Non Linear Power Amplifier Models

The Memoryless non linearity nature of the Power amplifier varies according to its output power gain function. The nature of the amplifier can be classified into diffrent models by using the gain function. The Non linearity of the PA can be reduced by Linearization Techniques. Pre-distortion is one of the method used to linearize the PA. Here we are going to use LMS algorithm in Predistorter and evaluates its error estimating capability in diffrent power amplifier models using 16-QAM modulation technique. We measured ACPR for different models using Matlab software.

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