Herein, a new methodology using a 3D Electromagnetic (EM) simulator-based Support Vector Regressi... more Herein, a new methodology using a 3D Electromagnetic (EM) simulator-based Support Vector Regression Machine (SVRM) models of base elements is presented for band-pass filter (BPF) design. SVRM models of elements, which are as fast as analytical equations and as accurate as a 3D EM simulator, are employed in a simple and efficient Cuckoo Search Algorithm (CSA) to optimize an ultra-wideband (UWB) microstrip BPF. CSA performance is verified by comparing it with other Meta-Heuristics such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). As an example of the proposed design methodology, an UWB BPF that operates between the frequencies of 3.1 GHz and 10.6 GHz is designed, fabricated and measured. The simulation and measurement results indicate in conclusion the superior performance of this optimization methodology in terms of improved filter response characteristics like return loss, insertion loss, harmonic suppression and group delay.
2019 6th International Conference on Electrical and Electronics Engineering (ICEEE), 2019
In this paper, by using NI LabVIEW graphical programming, wave propagation in two-dimensional spa... more In this paper, by using NI LabVIEW graphical programming, wave propagation in two-dimensional space is modelled with FDTD (Finite Difference Time Domain) method. FDTD method is applied to an infinitely long parallel plate waveguide for TM mode by using NI LABVIEW to compare its efficiency with text-based programming languages like MATLAB. It is found that although NI LABVIEW has complexity because of controlling nested loops (case structures) and data flow in arrays between loops to implement it takes less time than MATLAB to obtain simulation results.
Generally high antenna gain and directivity are required for satellite based communication system... more Generally high antenna gain and directivity are required for satellite based communication systems. This study proposes improving the directivity and gain of microstrip patch antenna at Ku-Band (12 GHz). In order to optimize these parameters, Omega-Shaped metamaterial (OSM) is designed as a flat lens in front of Microstrip Patch Antenna (MPA) that tuned to 12 GHz resonance frequency. Computer simulation technology Microwave Studio (CST MWS) was used for modeling and simulation. The permeability and permittivity of the designed metamaterial are extracted from the S parameters by using Matlab.
Herein, a Ground Penetrating Radar (GPR) problem is defined and modelled with CST 3-D full-wave e... more Herein, a Ground Penetrating Radar (GPR) problem is defined and modelled with CST 3-D full-wave electromagnetic (EM) simulation environment. The target which has various radius is placed at different depth of soil, then reflected normalized power is obtained by using C-Band conventional horn antenna for determined points on the aperture with the help of time domain solver. Also, without target simulations are applied for the same points and background subtraction algorithm is used to eliminate soil reflection measures and other effects like noise, ground anomalies. After that, nonlinear regression function is used to obtain hyperbola for all 1-D time signals in other words A-scan data, so that one normalized power amplitude of value as an output is received. With these outputs, different Artificial Neural Networks (ANN) are worked to predict approximate backscattering normalized power amplitudes from the buried objects. Finally, the presented nonlinear regression algorithm construct...
In this thesis, the RF front-end was done at K/Ka (18-27 GHz/26.5-40 GHz) bands used for satellit... more In this thesis, the RF front-end was done at K/Ka (18-27 GHz/26.5-40 GHz) bands used for satellite communication and satellite TV [1]. In this study, vertical polarized signal transmission and horizontal polarized signal reception were performed. The design is set to be compatible with TURKSAT 4B [2]. RF front-end is consist of an offset dish providing high gain and low side lobe level (SLL) for collecting the signal, a circular horn antenna which is compatible with RHCP (Right Hand Circular Polarization) and LHCP (Left Hand Circular Polarization) polarizations at the focal point of the dish, to separate dual polarization an orthomode transducer (OMT) and a transmit reject filter to prevent the receiver from the strong signal generated at the transmitter side (cross-pol). In the design waveguide structures is used to work in microwave frequencies and for high power delivery requirements. AWR Microwave Office, Computer Simulation Technology (CST) and MATLAB (Matrix Laboratory) progra...
Herein, a new methodology using a 3D Electromagnetic (EM) simulator-based Support Vector Regressi... more Herein, a new methodology using a 3D Electromagnetic (EM) simulator-based Support Vector Regression Machine (SVRM) models of base elements is presented for band-pass filter (BPF) design. SVRM models of elements, which are as fast as analytical equations and as accurate as a 3D EM simulator, are employed in a simple and efficient Cuckoo Search Algorithm (CSA) to optimize an ultra-wideband (UWB) microstrip BPF. CSA performance is verified by comparing it with other Meta-Heuristics such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). As an example of the proposed design methodology, an UWB BPF that operates between the frequencies of 3.1 GHz and 10.6 GHz is designed, fabricated and measured. The simulation and measurement results indicate in conclusion the superior performance of this optimization methodology in terms of improved filter response characteristics like return loss, insertion loss, harmonic suppression and group delay.
12th International Conference Microwave and Telecommunication Technology, 2002
ABSTRACT Artificial neural networks are emerging as a powerful technology for RF and microwave ch... more ABSTRACT Artificial neural networks are emerging as a powerful technology for RF and microwave characterization, modeling, and design. A neural modeler helps us to immediately start developing neural models for RF/microwave components and circuits and helps to provide neural models for our simulators. In this study, a novel fuzzy neural network structure is used for behavior of an active microwave device. Here, the device is modeled by a black box whose small signal and noise parameters are evaluated through a fuzzy clustering neural network based upon the fitting of both of these parameters.
12th International Conference Microwave and Telecommunication Technology, 2002
ABSTRACT Artificial neural networks are emerging as a powerful technology for RF and microwave ch... more ABSTRACT Artificial neural networks are emerging as a powerful technology for RF and microwave characterization, modeling, and design. A neural modeler helps us to immediately start developing neural models for RF/microwave components and circuits and helps to provide neural models for our simulators. In this study, a novel fuzzy neural network structure is used for behavior of an active microwave device. Here, the device is modeled by a black box whose small signal and noise parameters are evaluated through a fuzzy clustering neural network based upon the fitting of both of these parameters.
ICECS'99. Proceedings of ICECS '99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357), 1999
A different approach is utilised in the optimisation of a microwave transistor performance, which... more A different approach is utilised in the optimisation of a microwave transistor performance, which can be described as the signal-noise neural network representing the performance characterisation for the transistor. The signal-noise neural network gives the signal S and noise N parameters as functions of the operating conditions which are frequency f, bias voltage VDS, bias current IDS and configuration type
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 1999
... Tulay YILDIRIM Hamid TORPI Lale OZYTLMAZ Yildiz Technical University, Electronics and Communi... more ... Tulay YILDIRIM Hamid TORPI Lale OZYTLMAZ Yildiz Technical University, Electronics and Communications Eng. Dept. . ... Abstract Signal and noise behaviours of microwave transistors are modeled through the neural network approach for the whole operating ranges including j ...
12th International Conference Microwave and Telecommunication Technology, 2002
ABSTRACT Artificial neural networks are emerging as a powerful technology for RF and microwave ch... more ABSTRACT Artificial neural networks are emerging as a powerful technology for RF and microwave characterization, modeling, and design. A neural modeler helps us to immediately start developing neural models for RF/microwave components and circuits and helps to provide neural models for our simulators. In this study, a novel fuzzy neural network structure is used for behavior of an active microwave device. Here, the device is modeled by a black box whose small signal and noise parameters are evaluated through a fuzzy clustering neural network based upon the fitting of both of these parameters.
Herein, a new methodology using a 3D Electromagnetic (EM) simulator-based Support Vector Regressi... more Herein, a new methodology using a 3D Electromagnetic (EM) simulator-based Support Vector Regression Machine (SVRM) models of base elements is presented for band-pass filter (BPF) design. SVRM models of elements, which are as fast as analytical equations and as accurate as a 3D EM simulator, are employed in a simple and efficient Cuckoo Search Algorithm (CSA) to optimize an ultra-wideband (UWB) microstrip BPF. CSA performance is verified by comparing it with other Meta-Heuristics such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). As an example of the proposed design methodology, an UWB BPF that operates between the frequencies of 3.1 GHz and 10.6 GHz is designed, fabricated and measured. The simulation and measurement results indicate in conclusion the superior performance of this optimization methodology in terms of improved filter response characteristics like return loss, insertion loss, harmonic suppression and group delay.
2019 6th International Conference on Electrical and Electronics Engineering (ICEEE), 2019
In this paper, by using NI LabVIEW graphical programming, wave propagation in two-dimensional spa... more In this paper, by using NI LabVIEW graphical programming, wave propagation in two-dimensional space is modelled with FDTD (Finite Difference Time Domain) method. FDTD method is applied to an infinitely long parallel plate waveguide for TM mode by using NI LABVIEW to compare its efficiency with text-based programming languages like MATLAB. It is found that although NI LABVIEW has complexity because of controlling nested loops (case structures) and data flow in arrays between loops to implement it takes less time than MATLAB to obtain simulation results.
Generally high antenna gain and directivity are required for satellite based communication system... more Generally high antenna gain and directivity are required for satellite based communication systems. This study proposes improving the directivity and gain of microstrip patch antenna at Ku-Band (12 GHz). In order to optimize these parameters, Omega-Shaped metamaterial (OSM) is designed as a flat lens in front of Microstrip Patch Antenna (MPA) that tuned to 12 GHz resonance frequency. Computer simulation technology Microwave Studio (CST MWS) was used for modeling and simulation. The permeability and permittivity of the designed metamaterial are extracted from the S parameters by using Matlab.
Herein, a Ground Penetrating Radar (GPR) problem is defined and modelled with CST 3-D full-wave e... more Herein, a Ground Penetrating Radar (GPR) problem is defined and modelled with CST 3-D full-wave electromagnetic (EM) simulation environment. The target which has various radius is placed at different depth of soil, then reflected normalized power is obtained by using C-Band conventional horn antenna for determined points on the aperture with the help of time domain solver. Also, without target simulations are applied for the same points and background subtraction algorithm is used to eliminate soil reflection measures and other effects like noise, ground anomalies. After that, nonlinear regression function is used to obtain hyperbola for all 1-D time signals in other words A-scan data, so that one normalized power amplitude of value as an output is received. With these outputs, different Artificial Neural Networks (ANN) are worked to predict approximate backscattering normalized power amplitudes from the buried objects. Finally, the presented nonlinear regression algorithm construct...
In this thesis, the RF front-end was done at K/Ka (18-27 GHz/26.5-40 GHz) bands used for satellit... more In this thesis, the RF front-end was done at K/Ka (18-27 GHz/26.5-40 GHz) bands used for satellite communication and satellite TV [1]. In this study, vertical polarized signal transmission and horizontal polarized signal reception were performed. The design is set to be compatible with TURKSAT 4B [2]. RF front-end is consist of an offset dish providing high gain and low side lobe level (SLL) for collecting the signal, a circular horn antenna which is compatible with RHCP (Right Hand Circular Polarization) and LHCP (Left Hand Circular Polarization) polarizations at the focal point of the dish, to separate dual polarization an orthomode transducer (OMT) and a transmit reject filter to prevent the receiver from the strong signal generated at the transmitter side (cross-pol). In the design waveguide structures is used to work in microwave frequencies and for high power delivery requirements. AWR Microwave Office, Computer Simulation Technology (CST) and MATLAB (Matrix Laboratory) progra...
Herein, a new methodology using a 3D Electromagnetic (EM) simulator-based Support Vector Regressi... more Herein, a new methodology using a 3D Electromagnetic (EM) simulator-based Support Vector Regression Machine (SVRM) models of base elements is presented for band-pass filter (BPF) design. SVRM models of elements, which are as fast as analytical equations and as accurate as a 3D EM simulator, are employed in a simple and efficient Cuckoo Search Algorithm (CSA) to optimize an ultra-wideband (UWB) microstrip BPF. CSA performance is verified by comparing it with other Meta-Heuristics such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). As an example of the proposed design methodology, an UWB BPF that operates between the frequencies of 3.1 GHz and 10.6 GHz is designed, fabricated and measured. The simulation and measurement results indicate in conclusion the superior performance of this optimization methodology in terms of improved filter response characteristics like return loss, insertion loss, harmonic suppression and group delay.
12th International Conference Microwave and Telecommunication Technology, 2002
ABSTRACT Artificial neural networks are emerging as a powerful technology for RF and microwave ch... more ABSTRACT Artificial neural networks are emerging as a powerful technology for RF and microwave characterization, modeling, and design. A neural modeler helps us to immediately start developing neural models for RF/microwave components and circuits and helps to provide neural models for our simulators. In this study, a novel fuzzy neural network structure is used for behavior of an active microwave device. Here, the device is modeled by a black box whose small signal and noise parameters are evaluated through a fuzzy clustering neural network based upon the fitting of both of these parameters.
12th International Conference Microwave and Telecommunication Technology, 2002
ABSTRACT Artificial neural networks are emerging as a powerful technology for RF and microwave ch... more ABSTRACT Artificial neural networks are emerging as a powerful technology for RF and microwave characterization, modeling, and design. A neural modeler helps us to immediately start developing neural models for RF/microwave components and circuits and helps to provide neural models for our simulators. In this study, a novel fuzzy neural network structure is used for behavior of an active microwave device. Here, the device is modeled by a black box whose small signal and noise parameters are evaluated through a fuzzy clustering neural network based upon the fitting of both of these parameters.
ICECS'99. Proceedings of ICECS '99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357), 1999
A different approach is utilised in the optimisation of a microwave transistor performance, which... more A different approach is utilised in the optimisation of a microwave transistor performance, which can be described as the signal-noise neural network representing the performance characterisation for the transistor. The signal-noise neural network gives the signal S and noise N parameters as functions of the operating conditions which are frequency f, bias voltage VDS, bias current IDS and configuration type
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 1999
... Tulay YILDIRIM Hamid TORPI Lale OZYTLMAZ Yildiz Technical University, Electronics and Communi... more ... Tulay YILDIRIM Hamid TORPI Lale OZYTLMAZ Yildiz Technical University, Electronics and Communications Eng. Dept. . ... Abstract Signal and noise behaviours of microwave transistors are modeled through the neural network approach for the whole operating ranges including j ...
12th International Conference Microwave and Telecommunication Technology, 2002
ABSTRACT Artificial neural networks are emerging as a powerful technology for RF and microwave ch... more ABSTRACT Artificial neural networks are emerging as a powerful technology for RF and microwave characterization, modeling, and design. A neural modeler helps us to immediately start developing neural models for RF/microwave components and circuits and helps to provide neural models for our simulators. In this study, a novel fuzzy neural network structure is used for behavior of an active microwave device. Here, the device is modeled by a black box whose small signal and noise parameters are evaluated through a fuzzy clustering neural network based upon the fitting of both of these parameters.
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