A Reverse Wave Based Method Enabling Rapid Extraction of Bayesian Inference-Based Behavioral Model

Home > Archive>Volume 44, Issue 6, 2021 >76-80

A Reverse Wave Based Method Enabling Rapid Extraction of Bayesian Inference-Based Behavioral Model
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                        Yang Baoguo1Yang Baoguo
Science and Technology on Electronic Test & Measurement Laboratory，Qingdao, 266000，China
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Su Jiangtao2Su Jiangtao
Key Laboratory of RF Circuits and Systems Ministry of Education，Hangzhou Dianzi University，Hangzhou 310018，China
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Wang Jianhua2Wang Jianhua
Key Laboratory of RF Circuits and Systems Ministry of Education，Hangzhou Dianzi University，Hangzhou 310018，China
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Wang Fei2Wang Fei
Key Laboratory of RF Circuits and Systems Ministry of Education，Hangzhou Dianzi University，Hangzhou 310018，China
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Cai Jialin2Cai Jialin
Key Laboratory of RF Circuits and Systems Ministry of Education，Hangzhou Dianzi University，Hangzhou 310018，China
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Affiliation:1. Science and Technology on Electronic Test & Measurement Laboratory，Qingdao, 266000，China; 2. Key Laboratory of RF Circuits and Systems Ministry of Education，Hangzhou Dianzi University，Hangzhou 310018，China
Clc Number:TN98
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Abstract:

Measurement speed is a key fact that limited the practical application of RF device behavior model. In this paper, a novel rapid extraction method based on reverse wave injection is proposed. This method changes the amplitude and phase of the reverse incident wave at the load side of the device under test, so that massive training data can be acquired for the Bayesian algorithm, without the need for a complete load-pull test. Experiment is conducted over a GaN device at 2GHz frequency, the results prove that the method has greatly increase the extracting speed without compromising the accuracy. Compared with the traditional scheme, this method can greatly improve the model extracting efficiency and can be widely applied in practice.

Key words:Behavior Model, Bayesian Inference, Load-Pull, Nonlinear

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Online: October 18,2024
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