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Piecewise Regression Model for Solenoid Embedded Inductors Based on the Quasi-newton Method
Young-Don Ko,윤일구,Kilhan Kim,Kyubok Lee,Jongkyu Kim 한국전기전자재료학회 2005 Transactions on Electrical and Electronic Material Vol.6 No.6
This paper presents that the modeling to predict the characteristics with respect to the performance of solenoid embedded inductors manufactured by LTCC process via the nonlinear regression model based on the quasi-Newton method. In order to reduce the runs, the design of experiments (DOE) was used to generate the design space. The nonlinear process models were constructed by the piecewise regression model based on the quasi-Newton method for estimating the model coefficient with the break point on the statistical confidence intervals. Those models were verified by the model accuracy checking based on the assumption statistically.
Characteristic Variation of 3-D Solenoid Embedded Inductors for Wireless Communication Systems
Dongwook Shin,윤일구,Changhoon Oh,Kilhan Kim 한국전자통신연구원 2006 ETRI Journal Vol.28 No.3
The characteristic variation of 3-dimensional (3-D) solenoid-type embedded inductors is investigated. Four different structures of a 3-D inductor are fabricated by using a low-temperature co-fired ceramic (LTCC) process, and their s-parameters are measured between 50 MHz and 5 GHz. The circuit model parameters of each building block are optimized and extracted using the partial element equivalent circuit method and an HSPICE circuit simulator. Based on the model parameters, the characteristics of the test structures such as self-resonant frequency, inductance, and quality (Q) factor are analyzed, and predictive modeling is applied to the structures composed of a combination of the modeled building blocks. In addition, characteristic variations of the 3-D inductors with different structures using extracted building blocks are also investigated. This approach can provide a characteristic estimation of 3-D solenoid embedded inductors for structural variations.