Parameter Extraction Scheme Research Articles

Improved Parameterization Methodology for a Field-Stop Trench-Gate IGBT Physical Model by Switching Feature Partitioning

Accurate simulation of IGBT characteristics is an essential task to predict its electrical behaviors. Numerous physics-based IGBT models have been developed and proven to produce satisfactory simulation results. However, unavailability of device parameters is the key roadblock to application of these physics-based models. Additionally, the coupling between device parameters renders parameter extraction very challenging and heavy. In this paper, a novel parameter extraction scheme by switching feature partitioning is proposed, which considerably relaxes the negative impact of parameter coupling during parameter extraction. The IGBT inductive turn-off process and static characteristics are divided into nine typical feature segments under an inductive load. Then, the physical principle of each feature segment is analyzed, and the corresponding influencing parameters of each feature segment are found. During the parameter extraction, the corresponding weights are assigned to the parameter search according to the error of each feature segment. The proposed method for parameter extraction is elaborated. Using the extracted parameters, the simulation results by the physics-based IGBT model are in excellent agreement with the experimental results of the tested IGBT, and the effectiveness of the proposed parameter extraction program is verified. Finally, the extracted parameters are evaluated and verified by global sensitivity analysis.

A universal and convenient optimization design method of meshed transmission lines using parameter extraction

AbstractIn this paper, a universal and convenient optimization design method of the meshed transmission lines (TL) is presented. For optimizing meshed TL with the given characteristic impedance and propagation constant, the fast and accurate parameter characterization of meshed TL is a significant problem. A novel parameter extraction scheme is proposed to meet time‐saving and high accuracy of parameter characterization, and the related example analyses are given. Some guidelines for meshed TL design are given, and the transform is achieved from metallic transmission lines device to meshed transmission lines device with the same RF performance. A meshed TL filter is designed with good measurement results.

A Reliable Device Parameter Extraction Scheme for Physics-Based IGBT Models

The physics-based IGBT models have been proved to be very effective in accurately simulating the voltage, current, and carrier dynamics. However, the biggest challenge for those promising models is lack of detailed IGBT device parameters, which chip manufacturers generally seldom reveal. To extract precise and robust device parameters, a novel parameter extraction scheme based on the particle swarm optimization (PSO) algorithm is proposed in this article. The state-of-the-art Fourier-series-based (FSB) IGBT model is used to ensure the accuracy of the parameter extraction scheme. In the proposed scheme, IGBT parameters are simultaneously extracted by IGBT static and dynamic characteristic curves to account for global interaction between all those IGBT parameters during parameter optimization. The experiment is carried out to verify the proposed parameter extraction scheme. It should be noteworthy that only an experimental switching waveform under an arbitrary operating condition is required to implement global searching for the optimal parameters by our proposed scheme. The output characteristic curves and the switching waveforms of the FSB model under different operating conditions using the proposed parameter extraction scheme are in good agreement with the experimental waveforms. Results confirm the effectiveness and usefulness of the obtained device parameters by the randomly selected operating condition. Finally, the global sensitivity analysis is introduced to further demonstrate the reliability of the proposed parameter extraction scheme.

A Memory-Reduced Frequency Estimator for the Measurement of Sinusoidal Signal

This brief presents a memory-reduced hardware architecture for acquiring the frequency of sinusoidal signal based on the interpolated discrete Fourier transform (IpDFT). By exploiting the sparsity of the sinusoidal signal in the frequency domain, a spectrum compression method that can remove the unnecessary spectral lines is proposed together with the corresponding parameter extraction scheme, which circumvents the large-point DFT computation involved in the conventional IpDFT and thereby reduces the memory consumption markedly. On this basis, a low-latency hardware architecture is designed for the proposed frequency estimator. Implementation results demonstrates the proposed work can gain satisfactory accuracy while retaining low hardware cost and latency.

An improved parametric analysis of CSRR loaded with microstrip line for ultra wide band frequency range

ABSTRACTIn this letter, an improved electrical parameter extraction scheme for the microstrip line loaded with complementary split ring resonator (CSSR) is proposed. A CSRR loaded with microstrip line behaves as an effective negative permittivity media. The equivalent circuit of CSRR contains four electrical quantities and it needs four different characteristic frequencies for their accurate solution which was neglected in previous studies. In this work, a four variable problem is formulated and solved which accurately gives all the electrical parameters of CSRR equivalent circuit for ultra wide frequency range. The proposed technique is used for a parametric analysis of a rectangular CSRR unit cell. © 2017 Wiley Periodicals, Inc. Microwave Opt Technol Lett 59:661–664, 2017

An improved parameter extraction scheme for dumbbell shaped defected ground structure

The present study proposes an improved scheme for parameter extraction of dumbbell shaped defected ground structure (DGS). A dumbbell DGS has similar kind of response like a single pole LC–Butterworth filter. There are L–C, R–L–C, π and quasi-static equivalent circuits available in literature for dumbbell DGS parameter extraction. In this article, the R–L–C equivalent of dumbbell DGS is re-formulated which provides better accuracy in parameter extraction and it is confirmed through simulation and experimental analysis. This improved model is finally used to extract R–L–C parameters against several structural variations of dumbbell DGS unit cell.

Speech Feature Parameter Extraction and Recognition Based on Interpolation

The research of the existing speech recognition is based on speech feature parameter, acco-rding to the shortage of poor anti noise and larger storage capacity, etc. So, curve interpolation has been introduced into speech feature parameter extraction to enhance that. Refer to the speech spectrum dynamic changes and the short-time energy smooth stationary characteristics of speech signal, this paper puts forward and designs an arithmetic of speech feature parameter extraction based on interpolation, constructs the feature parameter extraction and personal identification scheme based on speech, and also designs critical modules algorithm. The detail process of feature parameter extraction: firstly, it creates two-dimensional coordinate for each frame data. Then, according to two-dimensional coordinate, it performs Lagrange cubic interpolation for segmentation the data in a signal frame. Get the interpolation coefficient, average the interpolation coefficient for a signal frame, here the average value is seen as the feature parameter for each frame. Lastly, the each frame’s feature parameter is connected in series to form feature parameter of the speech segment. The arithmetic has been simulated an experiment, in order to confirm the applicability and feasibility. The results illustrates the method has preferable anti noise performance, especially expression and storage for overall speech segment feature parameter show more obvious advantages.

Distributed Fusion Parameters Extraction for Integrated System Health Management to Space Avionics

This paper addresses a parameter extraction problem for space avionics integrated system health management. A distributed fusion-based parameter extraction scheme is developed by fusing the preprocessed results of the space avionics multi-sensor module. Because of the complex environment in space avionics, the feature parameters of electronic circuit in avionics systems are often corrupted by temporally correlated noise. For these correlated noise parameter systems, a distributed fusion parameters extraction algorithm is presented, in which the traditional method of dealing with correlated noise by augmenting the systems state vector is avoided. The proposed distributed fusion parameters extraction algorithm guarantees optimality in the sense of being equivalent to the optimal centralized estimated fusion. Numerical examples are provided to demonstrate the performance of the new algorithm.

Contact effects in compact models of organic thin film transistors: Application to zinc phthalocyanine-based transistors

A new compact model is developed for organic thin film transistors (OTFTs) by incorporating the effects of the contacts on the transistor’s output characteristics. The model is based on physically realistic expressions that describe charge flow in the vicinity of the contacts and a previously developed drift model. The resulting new model maintains the compactness of our original drift-based model and is very suitable for circuit simulations. For proper modeling, accurate model parameters are important. Therefore, we also propose a modified method to extract the transistor’s parameters, including ones related to the contact region. The validity of the model is examined by applying it to experimental data obtained for OTFTs which used solution processed films of substituted zinc phthalocyanine derivatives as an active layer between the gold contacts as the source and the drain terminals. Both linear and non-linear responses in the low drain voltage regime of the output characteristics of the transistors are analyzed. The new parameter extraction scheme provides a way to study the evolution with the gate voltage of the ratio of free to total charge density in the low conductivity region close to the contact.

Tight-binding study of thermal expansions for Mo3Si

We implemented a tight-binding parameter extraction scheme that is suitable for the modeling of intermetallic alloy systems. Using Mo3Si as an example, we obtained the Slater-Koster tight-binding parameters directly from results of full-potential linear muffin-tin orbital calculation by using a modification of the approach of McMahan and Klepeis [Phys. Rev. B 56, 12250 (1997)]. The transferability and accuracy of these parameters were tested against ab initio results. Augmented by a fitted repulsive energy contribution that takes the form of embedded atom potential, the tight-binding total energy method was applied in Monte Carlo simulations to compute the coefficients of thermal expansion for Mo3Si.

CMOS 80 K-300 K SPICE Parameter for IRFPA Readout Circuit Design

This work presents the low temperature characteristics of commercial complementary-mental-oxide-semiconductor devices, which may be used in the readout electronics of the infrared focal plane array detector. Measurements are performed with the temperature calibration of the device under test. Two most important temperature dependent parameters of the drain current characteristics of the device, the threshold voltage and the carrier mobility are studied. Carrier freeze out effect is considered in the threshold voltage calculation. Two kinds of empirical carrier mobility model are studied, and better model is included in the SPICE mobility model. A revised SPICE MOS level 3 parameter extraction scheme is proposed to extract new mobility model parameters.