Behavior model modeling and implementation method based on Volterra series

Abstract

The invention discloses a behavior model modeling and implementation method based on Volterra series. According to the behavior model modeling and implementation method, redundant parameters of an initialized Volterra series behavior model are reduced firstly, and then input signal amplitude sensitive parameters in the model are identified and extracted, and the behavior model is achieved in a microwave circuit and system simulation software. Compared with the prior art, the behavior model modeling and implementation method has the advantages of low complexity, convenience in parameter extraction, high precision, wide applicable frequency band and the like, greatly reduces the implementation difficulty of a Volterra series behavior model, and provides an efficient means for analysis, design and optimization of a radio frequency front-end subsystem in a wireless communication system, a radar system and the like.

Description

technical field [0001] The invention belongs to the field of behavior model modeling, in particular to a behavior model modeling and realization method based on Volterra series. Background technique [0002] The behavioral models of microwave devices, circuits and systems are based on the measured data of the DUT to accurately model the input and output characteristics of the DUT. In the modeling process of the behavior model, the DUT is regarded as a black box, without specifying the internal structure of the DUT, and the time-domain and frequency-domain characteristics of the DUT under the actual measurement conditions are directly simulated based on mathematical methods, which is consistent with the physical base model. It has the advantages of high precision, less computing resources, and fast simulation speed. Therefore, behavioral models play an important role in the analysis, design and optimization of RF front-end subsystems in wireless communication, radar and othe...

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Problems solved by technology

However, these parameter reduction methods themselves use more complex algorithms or need to know the physical characteristics of the tested part in advance; the dynamic Volterra series model based on the first-order truncation decreases the modeling accuracy of the tested part with strong nonlinearity and memory effect , so the above method has limitations in practical application

In addition, the currently reported Volterra series models are mostly based on numerical simulation software such as Matlab, which is difficult to be compatible with circuit and system-level simulation software (such as Advanced Design System, SystemVue, etc.), which limits the use of behavioral models in RF front-end subsystem simulation. application in

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