Indirect learning architecture predistortion method using the parallel estimation for amplitude and phase predistortion parameters

To solve the problem of mutual influence between amplitude and phase predistortion parameters in the traditional adaptive predistorter based on indirect learning architecture, an adaptive predistortion method is proposed, in which the amplitude and phase predistortion parameters are respectively estimated in parallel and the amplitude and phase predistorters are both to be trained by using indirect learning architecture; The method is applied in the typical memoryless power amplifier models, and the predistortion process of the OFDM signal of DVB-T standard in the 2K mode are simulated; Simulation results show that under the conditions with the same predistortion polynomial order, the improved indirect learning architecture predistortion method compared with traditional indirect learning architecture, the average suppression gain outside frequncy band is increased by approximately 4dB.