scholarly journals Spatial optical transmitter based on on/off keying line coding modulation scheme for optimum performance of telecommunication systems

2021 ◽  
Vol 21 (1) ◽  
pp. 305
Author(s):  
Hazem M. El-Hageen ◽  
Aadel M. Alatwi ◽  
Ahmed Nabih Zaki Rashed
Keyword(s):  
Wavelength Division Multiplexing ◽  
Total Power ◽  
Infinite Impulse Response ◽  
Modulation Scheme ◽  
Signal Power ◽  
Core Radius ◽  
Optimum Performance ◽  
Iir Filter ◽  
Optical Transmitter ◽  
Telecommunication Systems

<p><span>This study has presented a spatial optical transmitter based on on off keying line coding modulation scheme for the optimum performance of telecommunication systems. The encircled flux versus fiber core radius, the 3D graph for fiber mode versus core radius, and the signal power level in dBm versus wavelength through coarse wavelength division multiplexing with a fiber length of 20 km are presented and discussed in detail. The total power measured in W and dBm as well as the signal power amplitude level obtained through the infinite impulse response (IIR) filter based on both Z domain and pole/zero coefficient filter types are illustrated clearly. Signal gain, noise figure, maximum Q factor, and received power are also clarified against bit rates for various modulation line coding schemes.</span></p>

A numerical and experimental implementation and integration of Steiglitz–McBride algorithm with the frequency domain IIR filtering technique for active vibration control

2016 ◽  
Vol 24 (6) ◽  
pp. 1086-1100
Author(s):  
Utku Boz ◽  
Ipek Basdogan
Keyword(s):  
Computational Complexity ◽  
Vibration Control ◽  
Frequency Domain ◽  
Impulse Response ◽  
Time Domain ◽  
Vibration Suppression ◽  
Active Vibration Control ◽  
Infinite Impulse Response ◽  
Iir Filter ◽  
Active Vibration

In adaptive control applications for noise and vibration, finite ımpulse response (FIR) or ınfinite ımpulse response (IIR) filter structures are used for online adaptation of the controller parameters. IIR filters offer the advantage of representing dynamics of the controller with smaller number of filter parameters than with FIR filters. However, the possibility of instability and convergence to suboptimal solutions are the main drawbacks of such controllers. An IIR filtering-based Steiglitz–McBride (SM) algorithm offers nearly-optimal solutions. However, real-time implementation of the SM algorithm has never been explored and application of the algorithm is limited to numerical studies for active vibration control. Furthermore, the prefiltering procedure of the SM increases the computational complexity of the algorithm in comparison to other IIR filtering-based algorithms. Based on the lack of studies about the SM in the literature, an SM time-domain algorithm for AVC was implemented both numerically and experimentally in this study. A methodology that integrates frequency domain IIR filtering techniques with the classic SM time-domain algorithm is proposed to decrease the computational complexity. Results of the proposed approach are compared with the classical SM algorithm. Both SM and the proposed approach offer multimodal vibration suppression and it is possible to predict the performance of the controller via simulations. The proposed hybrid approach ensures similar vibration suppression performance compared to the classical SM and offers computational advantage as the number of control filter parameters increases.

scholarly journals EDFA AND EYCDFA POWER BOOSTER FOR SECURED, HIGH SPEED AND MULTIPLE WAVELENGTH SERVICES IN OPTICAL COMMUNICATION SYSTEMS USING WDM AND QUAD-SINGLE FORWARD AND TRI BACKWARD PUMPING TECHNIQUE

2021 ◽  
Vol 5 (12) ◽  
Author(s):  
S. Semmalar ◽  
S. Malarkkan
Keyword(s):  
Wavelength Division Multiplexing ◽  
Optical Communication ◽  
Communication Systems ◽  
High Speed ◽  
Optical Power ◽  
Fiber Amplifier ◽  
Signal Power ◽  
Erbium Doped Fiber Amplifier ◽  
Output Optical Power ◽  
Wavelength Division

Proposed the EDFA and EYCDFA power booster (Erbium Doped Fiber Amplifier- Erbium ytterbium co doped fiber amplifier) with quad pumping for high speed and multi wavelength services in an optical communication. The proposed EDFA and EYCDFA power booster with WDM(Wavelength division multiplexing) simulated by dual forward and Backward pumping, Dual-backward pumping, Tri-single forward and dual backward pumping and Quadsingle forward and tri-backward pumping with respect to Pump power and fiber Length. The parameters Input Optical power, Output Optical power, Forward Signal power, Backward Signal power measured and determined the speed of transmission in all types of pumping methods. From that the proposed EDFA- ans EYCDFA power booster with WDM quad pumping is the best suitable for secured high speed optical telecommunication systems. The results shown in Quad pumping Output optical power is maximum 25.2dB and optimum spectral forward Signal power is 30.5dBm and very less spectral optical backward signal power of -25.4dBm with Length 5m

scholarly journals Short Transient Parameter-Varying IIR Filter Based on Analog Oscillatory System

2019 ◽  
Vol 9 (10) ◽  
pp. 2013 ◽  
Author(s):  
Piotr Okoniewski ◽  
Jacek Piskorowski
Keyword(s):  
Transient Response ◽  
Real Life ◽  
Digital Filtering ◽  
Oscillatory System ◽  
Optimization Method ◽  
Infinite Impulse Response ◽  
Iir Filter ◽  
Dynamical Properties ◽  
Simulation Results ◽  
Discretization Process

This paper presents a concept for digital infinite impulse response (IIR) lowpass filter with reduced transient response. The proposed digital filtering structure is based on an analog oscillatory system. In order to design the considered digital filter, the analog prototype is subjected to a discretization process and, then, the parameters describing the dynamical properties of the oscillatory system are temporarily varied in time, so as to suppress the transient response of the designed filter. An optimization method, aimed at reducing the settling time by proper parameter manipulation, is presented. Simulation results, along with a real-life application proving the usefulness of the proposed concept, are also shown and discussed.

Design of Neural Network for Satellite’s Attitude Control Systems

2011 ◽  
Vol 110-116 ◽  
pp. 5001-5008
Author(s):  
Salomon Montenegro ◽  
Lenin Luna
Keyword(s):  
Neural Network ◽  
Attitude Control ◽  
Activation Function ◽  
Infinite Impulse Response ◽  
Attitude Control System ◽  
Dynamic Neural Network ◽  
Iir Filter ◽  
Communication Satellite ◽  
Satellite Ground Station ◽  
Residual Generator

The objective of this paper is to design a neural network-based residual generator to detect the fault in the actuators for a specific communication satellite in its attitude control system (ACS). First, a design of dynamic neural network with dynamic neurons is done, those neurons corresponds a second order linear Infinite Impulse Response (IIR) filter and a nonlinear activation function with adjustable parameters. Second, the parameters from the network are adjusted to minimize a performance index specified by the output estimated error, with the given input-output data collected from the specific ACS. Then, the designed dynamic neural network is trained and applied for detecting the faults injected to the wheel, which is the main actuator in the normal mode for the communication satellite. Then the performance and capabilities of the designed network were tested and compared with a conventional model-based observer residual, showing the differences between these two methods, and indicating the benefit of the proposed design to know the real status of the momentum wheel. Finally, the application of the methods in a satellite ground station is discussed.

scholarly journals Comparison of Circular Symmetric Low-Pass Digital IIR Filter Design Using Evolutionary Computation Techniques

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1226 ◽  
Author(s):  
Omar Avalos ◽  
Erik Cuevas ◽  
Jorge Gálvez ◽  
Essam H. Houssein ◽  
Kashif Hussain
Keyword(s):  
Evolutionary Computation ◽  
Transfer Functions ◽  
Filter Design ◽  
Statistical Treatment ◽  
Optimization Methods ◽  
Intelligence Community ◽  
Infinite Impulse Response ◽  
Iir Filters ◽  
Iir Filter ◽  
Wide Range

The design of two-dimensional Infinite Impulse Response (2D-IIR) filters has recently attracted attention in several areas of engineering because of their wide range of applications. Synthesizing a user-defined filter in a 2D-IIR structure can be interpreted as an optimization problem. However, since 2D-IIR filters can easily produce unstable transfer functions, they tend to compose multimodal error surfaces, which are computationally difficult to optimize. On the other hand, Evolutionary Computation (EC) algorithms are well-known global optimization methods with the capacity to explore complex search spaces for a suitable solution. Every EC technique holds distinctive attributes to properly satisfy particular requirements of specific problems. Hence, a particular EC algorithm is not able to solve all problems adequately. To determine the advantages and flaws of EC techniques, their correct evaluation is a critical task in the computational intelligence community. Furthermore, EC algorithms are stochastic processes with random operations. Under such conditions, for obtaining significant conclusions, appropriate statistical methods must be considered. Although several comparisons among EC methods have been reported in the literature, their conclusions are based on a set of synthetic functions, without considering the context of the problem or appropriate statistical treatment. This paper presents a comparative study of various EC techniques currently in use employed for designing 2D-IIR digital filters. The results of several experiments are presented and statistically analyzed.

A Novel Real-Time Algorithm for Torsional Vibration Mode of Generator Sets Based on Rotation IIR Filter

2012 ◽  
Vol 215-216 ◽  
pp. 1253-1258
Author(s):  
Juan Li ◽  
Yuan Hong Yang ◽  
Shao Hua Jiao
Keyword(s):  
Real Time ◽  
Torsional Vibration ◽  
Vibration Mode ◽  
Time Algorithm ◽  
Frequency Resolution ◽  
Infinite Impulse Response ◽  
Frequency Variation ◽  
Time Frequency ◽  
Iir Filter ◽  
Generator Sets

The shafting torsional vibration mode of generator sets reflects dynamic process of the power grid. This paper proposes a novel real-time algorithm for shafting torsional vibration mode decomposition of generator sets, which has excellent time-frequency resolution. The algorithm realizes the signal frequency resolution filtering based on classic infinite impulse response (IIR) filtering. At the same time, the inertia of the narrow-band filtering algorithm is eliminated through multi-period rotation IIR filtering and the time-frequency dynamic resolution of the modal decomposition is realized. PSCAD-based simulation verifies that the algorithm has the frequency anti-aliasing performance, and can fully reserve the time-frequency variation characteristics and can realize the multi-mode real-time decomposition of the torsional vibration perfectly. The algorithm can also be used for the time-frequency analysis in other fields.

A Modified PSO Algorithm for IIR Digital Filter Modeling

2018 ◽  
Vol 27 (05) ◽  
pp. 1850073 ◽  
Author(s):  
Wei-Der Chang
Keyword(s):  
Digital Filter ◽  
System Modeling ◽  
Pso Algorithm ◽  
Infinite Impulse Response ◽  
Reduced Order ◽  
Modified Particle Swarm Optimization ◽  
Iir Filter ◽  
Error Surface ◽  
Digital Modeling ◽  
System Order

Modeling for an unknown plant is a very important and primary task in the control system engineering. By using this established model, an adequate controller can be further designed to meet certain control specifications. This paper will propose a new modeling method which is based on the infinite impulse response (IIR) digital filter structure. A modified particle swarm optimization (PSO) with multiple subpopulations is utilized to solve for the IIR filter coefficients to model an unknown digital system. The developed PSO algorithm is able to overcome the multimodal error surface problem that often occurs in the system modeling of IIR digital filter. Finally, three different kinds of digital systems are examined to demonstrate the feasibility of the proposed method, including the same system order and reduced order structures. It is concluded from several simulation results that the proposed method has an excellent performance on solving the IIR digital modeling problem.

scholarly journals IIR Filter Design Using African Buffalo Optimization

2020 ◽  
pp. 95-99
Author(s):  
Jaishankar B ◽  
Govindaraj V ◽  
Sri kanth
Keyword(s):  
Signal Processing ◽  
Filter Design ◽  
Search Algorithm ◽  
Phase Error ◽  
Signal Amplitude ◽  
Performance Outcomes ◽  
Infinite Impulse Response ◽  
Modern World ◽  
African Buffalo ◽  
Iir Filter

In the modern world, the digital signal processing embeds more in real time applications. Several researchers focused on filtering process to identify the limitation in traditional methods. In this article, the meta-heuristic algorithm is deployed for optimizing infinite impulse response (IIR) filter design. The traditional IIR filter results create computational complexity and its performance is worse in the case of a noisy environment. In signal processing, IIR plays several roles in filtering and monitoring the signal amplitude. The African Buffalo Optimization (ABO) is quite easy for implementation and its performance outcomes solved many problems in various domains. Hence, it is selected for solving IIR filter problems for obtaining optimal filter coefficients. Initially, IIR filter is designed for different orders under ABO concept. The ABO based IIR filter’s performance is superior to those obtained by Genetic Algorithm and cuckoo search algorithm. The proposed method’s performance result proves that it has a smaller magnitude error and phase error with fast convergence rate.

scholarly journals Meta-heuristic techniques for optimal design of analog and digital filter

2020 ◽  
Vol 19 (2) ◽  
pp. 669
Author(s):  
El Beqal Asmae ◽  
Kritele Loubna ◽  
Benhala Bachir ◽  
Zorkani Izeddine
Keyword(s):  
Optimal Design ◽  
Filter Design ◽  
Analog Filters ◽  
Infinite Impulse Response ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Iir Filter ◽  
Design Error ◽  
Heuristic Techniques ◽  
Band Pass

In this paper, two Meta-heuristic techniques; namely Ant Colony Optimization (ACO) and Genetic Algorithm (GA) have been applied for the optimal design of digital and analog filters. Those techniques have been used to solve multimodal optimization problem in Infinite Impulse Response (IIR) filter design and to select the optimal component values from industrial series as well as to minimize the total design error of a 2nd order Sallen-Key active band-pass filter, also a comparison between the performances reached by those two Meta-heuristics was made in this article.

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