scholarly journals Utilization of MIMO Concept for Optical Communication System under Fog Condition

2019 ◽  
Vol 17 (2) ◽  
pp. 130-135
Author(s):  
Farouk Shakir ◽  
Mazin Ali A. Ali ◽  
Firas Ameer
Keyword(s):  
Mimo Systems ◽  
Signal To Noise Ratio ◽  
Optical Power ◽  
Cost Effective ◽  
Free Space Optical ◽  
Single Input Single Output ◽  
High Data ◽  
Single Output ◽  
Received Power ◽  
Single Input

Free-space optical (FSO) communication consider license free, high data rate, wide bandwidth and cost-effective. Multi-input Multi-output (MIMO) systems can be employed to reduce the attenuation by heavy fog and improve FSO channel capacity. In this paper a single-input single-output and multi–input multi-output examined to investigate the performance of these systems under heavy fog. A comparison is made in terms of received optical power, signal to noise ratio, and bit error rate (BER) using OptiSystem version 7.0. The signal reaches to link up to 1.7km, 1.55km, 1.5km, and 1.4km for 4Tx/4Rx, 3Tx/3Rx, 2Tx/2Rx, 1Tx/1Rxrespectively. The results showed that the quality of received power is enhancement by using up to four beams.

Comparative analysis of SISO and wavelength diversity-based FSO systems at different transmitter power levels

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Varun Srivastava ◽  
Abhilash Mandloi ◽  
Dhiraj Kumar Patel
Keyword(s):  
Optical Signal ◽  
Free Space Optical ◽  
Optical Source ◽  
Transmit Power ◽  
Single Input Single Output ◽  
Transmitter Power ◽  
Single Output ◽  
Communication Links ◽  
Single Input ◽  
Matching Performance

AbstractFree space optical (FSO) communication refers to a line of sight technology, which comprises optical source and detector to create a link without the use of physical connections. Similar to other wireless communication links, these are severely affected by losses that emerged due to atmospheric turbulence and lead to deteriorated intensity of the optical signal at the receiver. This impairment can be compensated easily by enhancing the transmitter power. However, increasing the transmitter power has some limitations as per radiation regulations. The requirement of high transmit power can be reduced by employing diversity methods. This paper presents, a wavelength-based diversity method with equal gain combining receiver, an effective technique to provide matching performance to single input single output at a comparatively low transmit power.

scholarly journals Impact of pointing error on SISO/MISO drones swarm-based free space optical system in weak turbulence regime

2021 ◽  
Vol 23 (2) ◽  
pp. 918
Author(s):  
Abdullah Jameel Mahdi ◽  
Wamidh Jalil Mazher ◽  
Osman Nuri Ucan
Keyword(s):  
Free Space ◽  
Communication Systems ◽  
High Performance ◽  
Signal To Noise Ratio ◽  
Weather Conditions ◽  
Free Space Optical ◽  
Single Input Single Output ◽  
Pointing Error ◽  
Single Output ◽  
Link Distance

<p>Applying the drone-based free space optical (FSO) technology is recent in communication systems. The FSO technology hashigh-security features dueto narrow beamwidth, insusceptible to interferences, free license and landline connection is not appropriate. However, these advantages face many obstacles that affect the system's performance, such as random weather conditions and misalignment. The pointing error Hpis one of the critical factors of the channel gain H. The related parameters of the Hp factor: the pointing error angles θr and the path length Z, were manipulated to extract the applicable values at various receiver diameter values. The proposed system has two topologies: single input single output (SISO) and multiple input single output (MISO), flying in weak atmospheric turbulence. The simulation was done using MATLAB software 2020. The average bit error rate (ABER) for the system versus signal-to-noise ratio (SNR) were verified and analyzed. The results showed that at θr=10<sup>−3</sup>rad, Z increased in the range 10~100m for each one-centimeter increase of DR. At θr=10<sup>−2</sup>rad, the applicable Z was nearly 10% of the link distance Z when θr=10<sup>−3</sup>rad was applied. Consequently, an increase in θr must correspond decrease in Z and vice versa to maintain the system at high performance.</p>

scholarly journals Performance of a SIMO-CDSK System over Rayleigh Fading Channels

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Jun-Yi Duan ◽  
Guo-Ping Jiang ◽  
Hua Yang
Keyword(s):  
Fading Channels ◽  
Bit Error Rate ◽  
Error Rate ◽  
Rayleigh Fading ◽  
Signal To Noise Ratio ◽  
Diversity Gain ◽  
Rayleigh Fading Channels ◽  
Single Input Single Output ◽  
Single Output ◽  
Single Input

This paper proposes a single-input multiple-output (SIMO) architecture for correlation delay shift keying (CDSK) modulation technique, and the bit error rate (BER) formula is derived under the assumption of the proposed system over Rayleigh fading channels. The new system employs multiple antennas at the receiver end to form a SIMO structure so as to obtain a diversity gain. Theoretical analysis and simulations show that, at a higher signal-to-noise ratio (SNR), the proposed SIMO-CDSK architecture has an outstanding bit error rate (BER) performance in contrast to the conventional single-input single-output (SISO) CDSK and GCDSK communication system; for the given SNR, the diversity gain of the proposed system will be improved with the number of receiver antennas increasing; for different SNRs, the best performance of the proposed system can be obtained by selecting the reasonable spreading factor; because the performance of SIMO-CDSK system is independent of the time delay, the proposed system has better security than GCDSK system.

Analysis and synthesis of single-input-single-output Lurie type systems via H∞ mixed-sensitivity

2021 ◽  
pp. 014233122110259
Author(s):  
Rafael F Pinheiro ◽  
Diego Colón
Keyword(s):  
Absolute Stability ◽  
Mimo Systems ◽  
Type Systems ◽  
New Approach ◽  
Single Input Single Output ◽  
Single Output ◽  
Analysis And Synthesis ◽  
Single Input ◽  
Performance Problem ◽  
The Absolute

The goal of this paper is to present a different approach to the analysis of the absolute stability of Lurie type systems in the single-input-single-output (SISO) case using robust control theory. The proposed technique enables the design of controllers via [Formula: see text] mixed-sensitivity (S/KS/T), where, besides making the system absolutely stable, the performance problem can also be solved. In addition, it is also demonstrated that it is possible to make use of this new approach in time-delay Lurie type systems. Thus, through a new methodology, this work paves the way to the study of the absolute stability of multiple-inputs-multiple-outputs (MIMO) systems, aiming at a better generalization of the theory and enabling applications in other areas, such as neural networks. Examples, numerical simulations and application in Chua’s circuit are given to illustrate the results.

scholarly journals MIMO-employed coherent photonic-radar (MIMO-Co-PHRAD) for detection and ranging

2021 ◽  
Author(s):  
Vishal Sharma ◽  
Hani J. Kbashi ◽  
Sergey Sergeyev
Keyword(s):  
Continuous Wave ◽  
Signal To Noise Ratio ◽  
Radar System ◽  
Detection Range ◽  
Single Input Single Output ◽  
Limited Bandwidth ◽  
Single Output ◽  
Radar Systems ◽  
Attractive Candidate ◽  
Single Input

AbstractRecently, the photonics-radar technology comes out as an attractive candidate in the arena of smart autonomous transportation, surveillance, and navigation-related applications owing to provide wide-spectra to attain improved and precise radar-resolutions. On the other hand, microwave radars, due to limited bandwidth, are incapable of coping with the demands of next-generation radar technology. Moreover, the atmospheric fluctuations become more prominent at higher frequencies and affect the radar’s performance significantly. Subsequently, the authors develop a 2 × 2 multi-input multi-output (MIMO) employed linear frequency-modulated continuous-wave coherent photonic-radar system (MIMO-Co-PHRAD) using OptiSystem™ and MATLAB™ to attain a prolonged detection-range with an enhanced visibility. The developed MIMO-Co-PHRAD is investigated with heterodyne- and homodyne-detection approaches under weak-to-strong regimes of the atmospheric fluctuations like Rain and Fog. A comparison is also drawn for both the demonstrated MIMO-equipped laser-driven coherent photonic-radar systems. The performance of both the developed MIMO-Co-PHRAD systems is evaluated by measuring the intensity of reflected-echoes, signal-to-noise ratio, and range-Doppler patterns. A contrast with the single-input single-output coherent photonic-radar (SISO-Co-PHRAD) is also established to validate the robustness of the demonstrated MIMO-Co-PHRAD.

Comparative Study of Three Output-Error Multi-Input Multi-Output Identification Methods

2020 ◽  
Author(s):  
Renato A. L. de Andrade ◽  
Péricles R. Barros
Keyword(s):  
Least Squares ◽  
Mimo Systems ◽  
Single Input Single Output ◽  
Identification Methods ◽  
Output Error ◽  
Single Output ◽  
Regression Algorithms ◽  
Intrinsic Complexity ◽  
Order Of Magnitude ◽  
Single Input

Multi-input multi-output (MIMO) systems have been a major concern for decades. However, due to the intrinsic complexity raised by the process interactions and optimization issues, MIMO approaches have not been developed as extensively as the single-input single-output ones. Recently, nevertheless, several algorithms have been proposed to address this problem, most of them based on recursive algorithms and many dependent on the assumption that the transfer function denominator polynomials are the same for all subsystems. In this article, an iterative least-squares-based algorithm, a pseudolinear regression and a Gauss-Newton optimization-based algorithm are proposed to provide a continuous-time output-error multi-input single-output model by means of iterative strategies. The numerical simulations indicate the iterative least-squares-based and the pseudo-linear regression algorithms have similar performances and generate more accurate and precise estimates than the Gauss-Newton one, which presented averages and standard deviations of the parameters ranging from twice as large to one order of magnitude higher than those of the other two algorithms.

Routh Approximation: An Approach of Model Order Reduction in SISO and MIMO Systems

2016 ◽  
Vol 2 (3) ◽  
pp. 486 ◽  
Author(s):  
D. K. Sambariya ◽  
Omveer Sharma
Keyword(s):  
Mimo Systems ◽  
Order Reduction ◽  
Reduced Order Model ◽  
Step Response ◽  
Order Model ◽  
Model Order ◽  
Single Input Single Output ◽  
Reduced Order ◽  
Single Output ◽  
Single Input

In this paper the Routh Approximation method is explored for getting the reduced order model of a higher order model. The reduced order modeling of a large system is necessary to ease the analysis of the system. The approach is examined and compared to single-input single-output (SISO) and multi-input multi-output (MIMO) systems. The response comparison is considered in terms of step response parameters and graphical comparisons. It is reported that the reduced order model using proposed Routh Approximation (RA) method is almost similar in behavior to that of with original systems.

scholarly journals Limit Cycle Prediction Based on Evolutionary Multiobjective Formulation

2009 ◽  
Vol 2009 ◽  
pp. 1-17 ◽  
Author(s):  
M. Katebi ◽  
H. Tawfik ◽  
S. D. Katebi
Keyword(s):  
Limit Cycle ◽  
Mimo Systems ◽  
Describing Function ◽  
Single Input Single Output ◽  
Single Output ◽  
Harmonic Signals ◽  
Sinusoidal Input ◽  
Single Input ◽  
Siso Systems ◽  
Function Matrix

This paper is concerned with an evolutionary search for limit cycle operation in a class of nonlinear systems. In the first part, single input single output (SISO) systems are investigated and sinusoidal input describing function (SIDF) is extended to those cases where the key assumption in its derivation is violated. Describing function matrix (DMF) is employed to take into account the effects of higher harmonic signals and enhance the accuracy of predicting limit cycle operation. In the second part, SIDF is extended to the class of nonlinear multiinput multioutput (MIMO) systems containing separable nonlinear elements of any general form. In both cases linearized harmonic balance equations are derived and the search for a limit cycle is formulated as a multiobjective problem. Multiobjective genetic algorithm (MOGA) is utilized to search the space of parameters of theoretically possible limit cycle operations. Case studies are presented to demonstrate the effectiveness of the proposed approach.

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