System-Level Time-Domain Behavioral Modeling for A Mobile WiMax Transceiver

2006 ◽  
Author(s):  
Jie He ◽  
Jun Seok Yang ◽  
Yongsup Kim ◽  
Austin S. Kim
Keyword(s):  
Time Domain ◽  
Behavioral Modeling ◽  
System Level ◽  
Mobile Wimax

Low-complexity SPICE Analog Behavioral Modeling of the ideal battery for system level design

2020 ◽  
Author(s):  
Ariel Jimenez ◽  
Natalia Morales ◽  
Carlos Paez ◽  
Arturo Fajardo ◽  
Gabriel Perilla
Keyword(s):  
Low Complexity ◽  
Behavioral Modeling ◽  
System Level ◽  
System Level Design ◽  
Level Design ◽  
The Ideal

Behavioral modeling and digital pre-distortion techniques for RF PAs in a 3 × 3 MIMO system

2019 ◽  
Vol 11 (10) ◽  
pp. 989-999 ◽  
Author(s):  
Mahmoud Alizadeh ◽  
Peter Händel ◽  
Daniel Rönnow
Keyword(s):  
Frequency Domain ◽  
Time Domain ◽  
Mimo Systems ◽  
Mimo System ◽  
Parameters Estimation ◽  
Behavioral Modeling ◽  
Type Model ◽  
Rf Power Amplifiers ◽  
Model Errors ◽  
Frequency Domains

AbstractModern telecommunications are moving towards (massive) multi-input multi-output (MIMO) systems in 5th generation (5G) technology, increasing the dimensionality of the systems dramatically. In this paper, the impairments of radio frequency (RF) power amplifiers (PAs) in a 3 × 3 MIMO system are compensated in both the time and the frequency domains. A three-dimensional (3D) time-domain memory polynomial-type model is proposed as an extension of conventional 2D models. Furthermore, a 3D frequency-domain technique is formulated based on the proposed time-domain model to reduce the dimensionality of the model, while preserving the performance in terms of model errors. In the 3D frequency-domain technique, the bandwidth of the system is split into several narrow sub-bands, and the parameters of the model are estimated for each sub-band. This approach requires less computational complexity, and also the procedure of the parameters estimation for each sub-band can be implemented independently. The device-under-test consists of three RF PAs including input and output cross-talk channels. The proposed techniques are evaluated in both behavioral modeling and digital pre-distortion (DPD) perspectives. The experimental results show that the proposed DPD technique can compensate the errors of non-linearity and memory effects in the both time and frequency domains.

scholarly journals Behavioral Modeling Paradigm for DC Nanogrid Based Distributed Energy Systems

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7904
Author(s):  
Muhammad Saad ◽  
Yongfeng Ju ◽  
Husan Ali ◽  
Sami Ullah Jan ◽  
Dawar Awan ◽  
...  
Keyword(s):  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Systems ◽  
Behavioral Model ◽  
Operating Conditions ◽  
Behavioral Modeling ◽  
System Level ◽  
Distributed Energy ◽  
New Paradigm ◽  
Large Signal

The remarkable progress of power electronic converters (PEC) technology has led to their increased penetration in distributed energy systems (DES). Particularly, the direct current (dc) nanogrid-based DES embody a variety of sources and loads, connected through a central dc bus. Therefore, PECs are required to be employed as an interface. It would facilitate incorporation of the renewable energy sources and battery storage system into dc nanogrids. However, it is more challenging as the integration of multiple modules may cause instabilities in the overall system dynamics. Future dc nanogrids are envisioned to deploy ready-to-use commercial PEC, for which designers have no insight into their dynamic behavior. Furthermore, the high variability of the operating conditions constitute a new paradigm in dc nanogrids. It exacerbates the dynamic analysis using traditional techniques. Therefore, the current work proposes behavioral modeling to perform system level analysis of a dc nanogrid-based DES. It relies only on the data acquired via measurements performed at the input–output terminals only. To verify the accuracy of the model, large signal disturbances are applied. The matching of results for the switch model and its behavioral model verifies the effectiveness of the proposed model.

scholarly journals Influence of System Layout on CM EMI Noise of SiC Electric Vehicle Powertrains

2021 ◽  
Vol 6 (4) ◽  
pp. 298-309
Author(s):  
Xiaoyu Jia ◽  
Keyword(s):  
Silicon Carbide ◽  
Electric Vehicle ◽  
Time Domain ◽  
Battery Pack ◽  
System Level ◽  
Test Bed ◽  
Shielded Cable ◽  
Cable Length ◽  
System Layout ◽  
Conducted Emi

This paper investigates the influences of system layout on common mode (CM) EMI noise of an electric vehicle (EV) powertrain with a traction inverter using silicon carbide (SiC) MOSFETs. First, a system level conducted EMI model for the whole SiC EV powertrain is presented, which includes a battery pack, DC cables, a SiC inverter, AC cables, and a PMSM. Then, the impacts of system layout, such as the AC cable length, the AC cable type, and the DC cable type (shielded cable and unshielded cable) on CM EMI noise are analyzed through time domain simulations of the system level conducted EMI model. Next, a conducted EMI emission test-bed for a SiC EV powertrain is built. Finally, experiments on the test-bed are carried out to verify the influences of system layout on CM EMI noise in the SiC EV powertrain.

System-Level Analysis of Outer Loop Link Adaptation on Mobile WiMAX Systems

2010 ◽  
Author(s):  
Andre Cavalcante ◽  
Juliano Bazzo ◽  
Edgar Souza ◽  
Marco Sousa ◽  
Lauri Kuru ◽  
...  
Keyword(s):  
Link Adaptation ◽  
System Level ◽  
Mobile Wimax ◽  
Outer Loop ◽  
Level Analysis

scholarly journals Time-domain envelope measurements for characterization and behavioral modeling of nonlinear devices with memory

2006 ◽  
Vol 54 (8) ◽  
pp. 3219-3226 ◽  
Author(s):  
F. Macraigne ◽  
T. Reveyrand ◽  
G. Neveux ◽  
D. Barataud ◽  
J.-M. Nebus ◽  
...  
Keyword(s):  
Time Domain ◽  
Behavioral Modeling ◽  
Nonlinear Devices ◽  
With Memory
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