射频功放预失真技术的研究
[Abstract]:Power amplifier is a necessary part of wireless communication system. Its nonlinear distortion will not only cause spectrum spread out of the band and cause adjacent channel interference, but also cause in-band signal distortion and improve bit error rate (BER). The linearization technology of high power amplifier is studied systematically in this paper. Firstly, the nonlinear characteristics of power amplifier and various linearization techniques are introduced. Among them, digital baseband predistortion is the most effective, easy to realize and the most potential linearization technology. In the digital baseband predistortion technology, the current predistortion schemes are analyzed and summarized, and the predistortion methods for memoryless and memorized power amplifiers are proposed respectively. In the memoryless power amplifier predistortion technique, the look-up table predistortion technique and the predistortion adaptive algorithm are studied. In this paper, the predistortion system is constructed by using the chord truncation method and the Newton iterative adaptive algorithm combined with the look-up table predistortion technique, and the performance of the two different algorithms is verified by simulation. However, the convergence accuracy of the chord truncation method is not high enough, and the steady-state error is relatively large. The interpolation method is used instead of the differential quotient method to solve the problem in this paper. The simulation results show that the improved algorithm can reduce the out-of-band spread of the signal by 6 dB on the basis of the original chord truncation method. In the present communication system, the memory effect of amplifier can not be ignored because of the application of wideband signal such as OFDM, so the predistortion technology of memory power amplifier is studied in detail in this paper. Firstly, the behavior model of memory power amplifier is introduced. Two kinds of memory amplifier predistortion system, memory polynomial predistortion system and Hammerstein predistortion system are introduced for different models. The Hammerstein predistortion system and the recursive least square adaptive algorithm are studied in detail. The recursive least squares algorithm has a very good convergence property, but its fixed forgetting factor limits the performance of the algorithm. In this paper, the idea of variable forgetting factor is introduced, and the forgetting factor can be changed with the change of system characteristics when the complexity of the algorithm is slightly increased. In this way, the improved algorithm not only has a fast convergence rate, but also can maintain a very small steady-state error. In the simulation of signal power spectral density, the out-of-band spread can further reduce the number of 7dB.
【学位授予单位】:辽宁工程技术大学
【学位级别】:硕士
【学位授予年份】:2011
【分类号】:TN722.75
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