Effective Technique for System Level Prediction of the Radiated Emissions of Electronic Devices and Cables inside Satellites from Unit Level Measurements.

Author(s):  
F. Saez de Adana ◽  
M. F. Catedra ◽  
J. M. Gomez ◽  
R. Mittra
2009 ◽  
Vol 51 (2) ◽  
pp. 181-191 ◽  
Author(s):  
Francisco Saez de Adana ◽  
Manuel F. CÁtedra ◽  
JosÉ M. GÓmez ◽  
Raj Mittra ◽  
Jorge Berkowitsch Renuncio ◽  
...  

Author(s):  
Deepali Chaurasia

Since, the industrial electronics is trending towards more compact components and system integration, innovative products offering greater flexibility, quality, safety, reliability, energy savings, wide range of connectivity with long operating lifetime. Now, Electronics is widely used in information processing, telecommunication and signal processing. Due to the complex nature of electronics theory, laboratory experimentation is an important part of development of electronic devices. These experiments are used to test or verify the proposed design and detect errors. Historically, electronics labs have consisted of electronic devices and equipment located in the physical space. Although in more recent years, the trend has been towards electronics lab simulation softwares and SystemVue is also one of them. SystemVue is a focussed electronic design automation (EDA) environment for electronic system-level (ESL) design. It enables system architects and algorithm developers to innovate the physical layer (PHY) of wireless and aerospace/defence communication systems and provide unique value to RF, DSP and FPGA/ASIC implementers. As a dedicated platform for ESL design and signal processing realization, SystemVue replaces general-purpose digital, analog and math environments. SystemVue “speaks RF”, cuts PHY development and verification time in half and connects to your mainstream EDA flow.


Author(s):  
Michiel Foulon

Neoclassical realism offers insights into why particular foreign policy choices are made, and under what systemic conditions unit-level factors are likely to intervene between systemic stimuli and state behavior. Neoclassical realism brings a multilevel framework that combines both systemic incentives and mediating unit-level variables to arrive at conclusions about foreign policy choices in particular cases. It sets the relative distribution of capabilities in the international system as the independent variable and adds mediating variables at the unit level of analysis. Variables at the domestic level of analysis, such as the role of ideology, the foreign policy executive’s perceptions, resource extraction, and domestic institutions, add explanatory power to system-level approaches. Neoclassical realism accounts for state behavior in a way that a more parsimonious systems-level theory is unable to achieve. But this rich theoretical framework also faces controversies and criticisms: Is neoclassical realism distinct from other theories and what is its added value? Neoclassical realism overlaps only to a small extent with alternative theoretical approaches. The domestic level of analysis dominates Foreign Policy Analysis (a subfield of International Relations). Unit-level variables suffice to explain state behavior in bottom-up approaches, and opening the structure of the international system for fundamental rethinking is central to constructivism. Neither explains the system-level conditions under which unit-level variables mediate between systemic stimuli and foreign policy. Neoclassical realism analyzes and explains a given foreign policy that more parsimonious or alternative theoretical approaches cannot.


2018 ◽  
Vol 33 (1) ◽  
pp. 40-66 ◽  
Author(s):  
Alexander Korolev ◽  
Vladimir Portyakov

This article attempts to advance the neoclassical realist framework by elaborating on the interaction between system-level and unit-level factors in the formation of states’ behavior. With an empirical focus on post-Cold War China–Russia relations, which represent the ambivalent combination of a consistently growing strategic entente and a simultaneous reluctance to form a full-fledged political-military alliance, this study establishes two major unit-level factors – differing economic models and negative historical memories – that create hurdles for alliance formation between the two countries. However, under greater systemic pressure from the US-led unipolarity, China’s and Russia’s state leaders have not only increased bilateral military-to-military cooperation but have begun to actively implement policies to deliberately transform, if not remove, the existing non-systemic hurdles. Therefore, the neoclassical realist framework can be understood and further tested as a dynamic interaction model in which the unit-level circumstances, while moderating the causal impact of the system, are themselves being transformed by the system via state policies, as is their impact on states’ foreign policy.


2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Giordano Spadacini ◽  
Flavia Grassi ◽  
Diego Bellan ◽  
Sergio A. Pignari ◽  
Filippo Marliani

This work reports a modeling methodology for the prediction of conducted emissions (CE) in a wide frequency range (up to 100 MHz), which are generated by dc/dc converters and propagate along the power buses of satellites. In particular, the dc/dc converter seen as a source of CE is represented by a behavioral model, whose parameters can be identified by two unit-level experimental procedures performed in controlled test setups. A simplified multiconductor transmission-line (MTL) model is developed to account for the propagation of CE in shielded bundles of twisted-wire pairs used as power cables. The whole power system is represented by the interconnection of the circuit models of dc/dc converters, cables, and Power Conditioning and Distribution Unit (PCDU). By solving the obtained network, frequency spectra of CE can be predicted. Experimental results are reported to substantiate the accuracy of the proposed unit-level dc/dc converter model and the MTL model of cables. Finally, a system-level test setup composed of three dc/dc converters connected to a PCDU is considered, and predicted CE are compared versus experimental measurements.


2020 ◽  
Vol 9 (4) ◽  
pp. 63-76
Author(s):  
Yury V. Kuznetsov ◽  
Andrey B. Baev ◽  
Maxim A. Konovalyuk ◽  
Anastasia A. Gorbunova ◽  
Johannes A. Russer ◽  
...  

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