Reduction of Higher Harmonics in the Signal Spectrum in Switched Mode Amplifiers Using Predistortions Generated by a Neural Network

V. Sorotsky, R. Zudov
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引用次数: 3

Abstract

In recent years, there has been a tendency to reduce heat dissipation from various kinds of technical devices including radio transmitters. To reduce heat dissipation in radio transmitters, switched mode power amplifiers (PAs) can be used, the efficiency of which is as high as 95-98%. However, the high level of higher harmonics is a problem of such PAs. To reduce them to the required value, a staged voltage can be used. In this case, attention must be paid to the angle coordinates of the voltage stages. It is shown that even their insignificant deviations caused by different values of the transistor parameters significantly increase the level of higher harmonics. To solve this problem, a predistortion of control pulses should be implemented using a neural network. The results of experiments confirm the possibility to reduce the level of the 2nd, 3rd, 5th and 7th harmonics in a three-stage voltage by 30…40 dB to the required level of minus 60 dB.
利用神经网络产生的预失真降低开关模式放大器信号频谱中的高次谐波
近年来,减少包括无线电发射机在内的各种技术设备的散热已成为一种趋势。为了减少无线电发射机的散热,可以使用开关模式功率放大器(PAs),其效率高达95-98%。然而,高次谐波水平是这类放大器的一个问题。为了将它们降低到所需的值,可以使用分级电压。在这种情况下,必须注意电压级的角度坐标。结果表明,由于晶体管参数的不同而引起的微小偏差也会显著提高高次谐波的水平。为了解决这一问题,需要利用神经网络实现控制脉冲的预失真。实验结果证实了将三级电压中的第2、3、5、7次谐波的电平降低30 ~ 40 dB至- 60 dB的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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