MULTI-STAGE RECONFIGURABLE SIGNAL PROCESSING IN SPATIALLY DISTRIBUTED RADIO SYSTEMS

2019 ◽  
Vol 67 ◽  
pp. 3-10
Author(s):  
Yu. N. Parshin ◽  
◽  
M. V. Grachev ◽  
Keyword(s):  
Signal Processing ◽  
Multi Stage ◽  
Spatially Distributed ◽  
Radio Systems

Modeling of the influence of multiplicative interference on the resolution the ability of signals according to the Woodward criterion in aviation and rocket and space applications radio systems

2020 ◽  
pp. 69-81
Author(s):  
В.М. Артюшенко ◽  
В.И. Воловач
Keyword(s):  
Signal Processing ◽  
Time Resolution ◽  
Phase Structure ◽  
Multiplicative Noise ◽  
Radio Signal ◽  
Wide Band ◽  
Signal Duration ◽  
Space Applications ◽  
Radio Systems ◽  
Multiplicative Interference

Рассмотрены и проанализированы алгоритмы моделирования влияния квазидетерминированных и флуктуационных мультипликативных помех на разрешающую способность систем обработки радиосигналов по задержке и частоте на основе критерия Вудворда. Показано, что при очень широкополосных мультипликативных помехах интервал разрешения по времени определяется только огибающей сигнала и не зависит от его фазовой структуры. Для сигналов с прямоугольной и колоколообразной огибающей он равен эквивалентной длительности сигнала. Приведены примеры вычисления интервалов разрешения при воздействии мультипликативных помех. The influence of quasi-deterministic and fluctuating multiplicative noise on the resolution of radio signal processing systems in terms of delay and frequency based on the Woodward criterion is considered and analyzed. It is shown that for very wide-band multiplicative interference, the time resolution interval is determined only by the envelope of the signal and does not depend on its phase structure. For rectangular and bell-shaped envelope signals, it is equal to the equivalent signal duration. Examples of calculation of resolution intervals under the influence of multiplicative interference are given.

scholarly journals Analysis of Economic Indicators of Complex Production Processes

2018 ◽  
Vol 7 (3.5) ◽  
pp. 7
Author(s):  
Korneev A.M ◽  
Abdullakh L.S
Keyword(s):  
Forecast Model ◽  
Complete Information ◽  
Economic Indicators ◽  
Management Effectiveness ◽  
Technological Factors ◽  
Production Processes ◽  
Multi Stage ◽  
Spatially Distributed ◽  
The Cost ◽  
Production Resources

The article describes the methodology for describing the economic indicators of management effectiveness and decision-making under conditions of complex multi-stage productions. The algorithm and the forecast model of the need for production resources are presented, that allow providing more complete information on costs and help in pricing for various products, significantly reducing the response time to economic and technological situation changes. Characteristics of technology parameters are linked to a multi-stage production process. As the semi-finished product passes through the processing stages, the values of the technological factors are fixed. Methods for estimating the influence of parameters of complex spatially-distributed systems on costs are presented. Important elements of costs that affect the product value are determined. Detailing the cost elements for the technological operations under study is carried out, the boundaries, where the largest amount of resources is spent, are determined. 

Analysis of Economic Indicators of Complex Production Processes

2018 ◽  
Vol 7 (3.5) ◽  
pp. 51
Author(s):  
Korneev A.M ◽  
Abdullakh L.S
Keyword(s):  
Forecast Model ◽  
Complete Information ◽  
Economic Indicators ◽  
Management Effectiveness ◽  
Technological Factors ◽  
Production Processes ◽  
Multi Stage ◽  
Spatially Distributed ◽  
The Cost ◽  
Production Resources

The article describes the methodology for describing the economic indicators of management effectiveness and decision-making under conditions of complex multi-stage productions. The algorithm and the forecast model of the need for production resources are presented, that allow providing more complete information on costs and help in pricing for various products, significantly reducing the response time to economic and technological situation changes. Characteristics of technology parameters are linked to a multi-stage production process. As the semi-finished product passes through the processing stages, the values of the technological factors are fixed. Methods for estimating the influence of parameters of complex spatially-distributed systems on costs are presented. Important elements of costs that affect the product value are determined. Detailing the cost elements for the technological operations under study is carried out, the boundaries, where the largest amount of resources is spent, are determined.  

scholarly journals Signal Processing of GPR Data for Road Surveys

Geosciences ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 96 ◽  
Author(s):  
Luca Bianchini Ciampoli ◽  
Fabio Tosti ◽  
Nikos Economou ◽  
Francesco Benedetto
Keyword(s):  
Signal Processing ◽  
Resolution Enhancement ◽  
Real Life ◽  
Destructive Testing ◽  
V Band ◽  
Remaining Service Life ◽  
Multi Stage ◽  
Band Pass ◽  
Ground Penetrating ◽  
Non Destructive

Effective quality assurance and quality control inspections of new roads as well as assessment of remaining service-life of existing assets is taking priority nowadays. Within this context, use of ground penetrating radar (GPR) is well-established in the field, although standards for a correct management of datasets collected on roads are still missing. This paper reports a signal processing method for data acquired on flexible pavements using GPR. To demonstrate the viability of the method, a dataset collected on a real-life flexible pavement was used for processing purposes. An overview of the use of non-destructive testing (NDT) methods in the field, including GPR, is first given. A multi-stage method is then presented including: (i) raw signal correction; (ii) removal of lower frequency harmonics; (iii) removal of antenna ringing; (iv) signal gain; and (v) band-pass filtering. Use of special processing steps such as vertical resolution enhancement, migration and time-to-depth conversion are finally discussed. Key considerations about the effects of each step are given by way of comparison between processed and unprocessed radargrams. Results have proven the viability of the proposed method and provided recommendations on use of specific processing stages depending on survey requirements and quality of the raw dataset.

scholarly journals Modeling of complex structured processes using discrete iterative networks and petri nets

2021 ◽  
Vol 2131 (3) ◽  
pp. 032004
Author(s):  
A Korneev ◽  
T Lavrukhina ◽  
T Smetannikova ◽  
Yu Glazkova
Keyword(s):  
Petri Nets ◽  
Optimization Methods ◽  
Optimal Solutions ◽  
Processing Mode ◽  
Functional Relationships ◽  
Multi Stage ◽  
Optimal Value ◽  
Spatially Distributed ◽  
Alternative Solutions ◽  
Production Conditions

Abstract The paper considers the use of discrete iterative networks and Petri nets in the modeling of complex structured processes. In general, the production process is represented as a composition of machines. Probabilistic finite machine are modeled to select optimal solutions from a certain set of alternative solutions. Alphabets of finite and probabilistic machines are formed on the basis of discrete optimization methods when modeling multi-stage productions. The processing mode adaptation block is used to change the alphabets when the production conditions are changed. Using the alphabet generation block allows you to choose the optimal value of the alphabets of the random variables under study. During modeling complex systems and developing algorithms for managing them, the presence of ambiguous functional relationships between factors and quality indicators is taken into account. Methods of modeling complex spatially distributed objects based on a hierarchy of machines belonging to a predetermined finite number of machine types using iterative networks and Petri nets are described.

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