Radio frequency power amplifier harmonic balance parameter extraction method based on neural network

Abstract

The invention discloses a radio frequency power amplifier harmonic balance parameter extraction method based on a neural network, and the method comprises the steps: firstly obtaining sample data of harmonic balance parameters of a tested HEMT power amplifier under different bias conditions which comprise the drain-source voltage, drain current, frequency and input power of a device, wherein the harmonic balance parameters comprise output power, power gain, power additional efficiency and a third-order intermodulation point; training the neural network by using the sample data to finally obtain a trained HB harmonic balance parameter neural network; for the HEMT power amplifier to be tested, inputting the bias condition of the HEMT power amplifier to be tested into the HB harmonic balanceparameter neural network, and enabling the HB harmonic balance parameter neural network to output the harmonic balance parameter of the HEMT power amplifier under the bias condition. According to themethod, the harmonic balance parameters of the radio frequency power amplifier can be efficiently and accurately extracted.

Description

Technical field [0001] The invention relates to the technical field of harmonic balance parameter extraction of radio frequency power amplifiers, in particular to a method for extracting harmonic balance parameters of radio frequency power amplifiers based on neural networks. Background technique [0002] The HEMT structure power amplifier is a device developed by combining metal field effect transistors and heterojunction structures. Its voltage-to-current regulation principle is basically the same as that of general FET devices. The structure is different from other FET devices. The electron channel that forms the current is composed of a heterojunction. Because of its very high electron mobility, such devices have wide band gap, high critical field strength, high thermal conductivity, high carrier saturation rate and other characteristics, they can be used as radio frequency microwave devices and play an important role in the communication field. Since the communication field...

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Problems solved by technology

But these two methods all have shortcomings: For method (1), there are many instruments used, some instruments such as signal generators are expensive, and professionals need to be trained to use these instruments, and the test cost is high; secondly , This kind of test needs multiple test points, or there will be certain errors, there are errors from the operation, and there are also errors from the instrument. In the case of more instruments, the error accumulation is larger, and the time consumption is longer, and the process is cumbersome.

For method (2), DC analysis, stability analysis, bias circuit design, load impedance matching and source impedance matching and other steps are required in the ADS design process to finally simulate the harmonic balance parameters of the RF power amplifier, which requires certain The knowledge reserve of RF circuits can be simulated and designed, and the design process is also relatively complicated.

It can be seen that the existing methods are still unable to efficiently and accurately extract the harmonic balance parameters. Therefore, it is necessary to develop a new method that can efficiently and accurately extract the harmonic balance parameters of the RF power amplifier.

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