Spiral inductor modeling method based on random forest

A technology of random forest algorithm and spiral inductance, which is applied in CAD circuit design, design optimization/simulation, etc., can solve problems such as not being able to meet the needs of circuit design, speed up design speed and labor costs, and achieve simplified development and optimization, accelerated design, cost saving effect

Inactive Publication Date: 2020-05-22
HUNAN UNIV
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Problems solved by technology

The introduction of intelligent algorithms into the design of spiral inductors can speed up the design and reduce labor costs, and at the same time design spiral inductors wit

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  • Spiral inductor modeling method based on random forest
  • Spiral inductor modeling method based on random forest
  • Spiral inductor modeling method based on random forest

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Embodiment Construction

[0032] In order to illustrate the technical scheme of the present invention more clearly, below in conjunction with appendix Figures 1 to 3 And embodiment further illustrate the present invention. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. A random forest-based spiral inductance modeling method proposed by the present invention, its modeling principle is as follows figure 1 As shown, the details are as follows:

[0033] The typical structural parameters of planar spiral inductors are as follows: figure 2 As shown, the ANSYS HFSS electromagnetic simulation software obtains the structural parameters and corresponding performance parameters of the spiral inductor, and constructs the original data set of the spiral inductor. According to the 0.13-μm CMOS process technology, the structural parameters of the on-chip spiral inductor are determined, namely the number of t...

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Abstract

The invention discloses a spiral inductor modeling method based on a random forest, and the method comprises the following steps: 1, obtaining structural parameters and corresponding performance parameters of a spiral inductor through ANSYS HFSS electromagnetic simulation software, and constructing an original data set of the spiral inductor; 2, performing normalization processing on the originaldata set of the spiral inductor; 3, randomly dividing the normalized original data set into an original training sample set and a test sample set; 4, training the training sample set by using a randomforest algorithm, and obtaining a trained spiral inductance prediction model by using structural parameters of the spiral inductance as input and performance parameters as output; and 5, inputting the test sample set into the trained spiral inductance prediction model to obtain corresponding spiral inductance performance parameters, and evaluating the prediction precision of the model. The spiralinductor modeling method based on the random forest is established, the development and optimization of spiral inductors by designers are simplified, the research efficiency is improved, the cost issaved, and the integrated circuit design is accelerated.

Description

technical field [0001] The invention relates to a random forest-based spiral inductance modeling method, which belongs to the field of wireless communication. Background technique [0002] Spiral inductors are one of the most commonly used passive components in RF IC design, and the lack of fast and accurate computer-aided design tools like CAD is still one of the bottlenecks in RF circuit design. To meet the design requirements of RF on-chip spiral inductors, fast and accurate circuit models are essential. The traditional modeling methods of spiral inductors such as finite difference time domain method (FDTD), moment method (MOM) and finite element method (FEM) and other numerical methods are cumbersome and time-consuming to calculate. Analytical and empirical modeling techniques can effectively save time, but the calculation The precision is not accurate enough. Additionally, small changes in material parameters may require a simulation rerun. In recent years, some rese...

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Application Information

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IPC IPC(8): G06F30/20G06F30/30
Inventor 杜四春欧伟银红霞
Owner HUNAN UNIV
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