Design of an Ultrawide Band Low Noise Microstrip Amplifier Using 3D Sonnet- Based SVRM with Particle Swarm Optimization for Space Applications

被引:0
|
作者
Demirel, Salih [1 ]
Gunes, Filiz [1 ]
Keskin, Ahmet Kenan [1 ]
机构
[1] Yildiz Tech Univ, Dept Elect & Commun Engn, Istanbul, Turkey
关键词
Support Vector Regression Machine; Microwave Amplifier; Transducer Gain; Noise Figure; Input VSWR; Microstripline; SUPPORT VECTOR SYNTHESIS; PERFORMANCE CHARACTERIZATION; MICROWAVE;
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In this work, a determinististic, efficient design methodology is put forward to design a wide-band, low-noise microstrip amplifier, where the microstrip widths, lengths {(W) over right arrow, (l) over right arrow} of the input/ output matching networks are obtained accurately and fast for a substrate {epsilon(r), h, tan delta} using the cost-effective 3D EM- based Support Vector Regression Machine (SVRM) microstrip model provided that ensuring the stable source Z(S)(omega) and load Z(L)(omega) terminations for the compatible {Noise F(omega) >= F-min(omega), Input VSWR Vi(omega) >= 1, Gain G(Tmin)(omega)>G(T)(omega)>= G(Tmax)(omega), Bandwidth B} quadrates of the employed transistor. The 3D EM- based SVRM microstrip model provides the accurate and fast characterization of the equivalent transmission line in terms of the characteristic impedance Z(0) and the dielectric constant epsilon(eff) within the continuous domain of {0.1mm <= W <= 4.6 mm, 2 <= epsilon(r) <= 10, 0.1mm <= h <= 2.2mm, 2GHz <= f <= 14GHz} in an efficient manner. In the modeling process, the substantial reduction (up to % 64) is obtained utilizing sparseness of SVRM in the number of expensive fine discretization training data with the negligible loss in the predictive accuracy using the quasi-TEM microstrip synthesis formulas as the coarse model that allow to identify the regions of the design space requiring denser sampling. Moreover, the multi-objective amplifier design problem is reduced into the two single-objective design problems of the input(IM)/ output (OM) matching networks to provide the source Z(S)(omega) and load Z(L)(omega) terminations to the transistor, respectively. Finally the design methodology is applied to the design of typical wideband low-noise amplifiers of the transistor NE3512S02 within 3GHz and 8GHz using T-, II- L types of microstrip matching circuits satisfying the maximum gain provided the available minimum noise and a permitted amount of input mismatching at each operation frequency. In the design optimization of the IM/OM networks, a Memetic Algorithm (MA) in which a simple local optimizer called Nelder-Mead (NM) algorithm is used along with the global optimizer Particle Swarm (PSO) algorithm is used. Furthermore, typical T-T designed amplifier is validated using the Circuit Simulator AWR and 3 D EM Simulator SONNET.
引用
收藏
页码:445 / 450
页数:6
相关论文
共 13 条
  • [1] Design Optimization of the Exponentially Tapered Microstrip Impedance Matching Sections Using a Cost Effective 3-D-SONNET-based SVRM with the Particle Swarm Intelligence
    Belen, Mehmet Ali
    Demirel, Salih
    Gunes, Filiz
    Keskin, Ahmet Kenan
    PIERS 2013 STOCKHOLM: PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM, 2013, : 1490 - 1494
  • [2] Search and Tracking in 3D Space Using a Species Based Particle Swarm Optimizer
    Farid, Ali Moltajaei
    Egerton, Simon
    Barca, Jan Carlo
    Kamal, Md Abdus Samad
    2018 IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND INTELLIGENT SYSTEMS (I2CACIS), 2018, : 155 - 160
  • [3] 3D Aided Art Design Method Based on Improved Particle Swarm Optimization Algorithm
    Sun J.
    Chen X.
    Computer-Aided Design and Applications, 2024, 21 (S3): : 1 - 16
  • [4] Enhancement of sparse 3D reconstruction using a modified match propagation based on particle swarm optimization
    El Hazzat, Soulaiman
    Merras, Mostafa
    El Akkad, Nabil
    Saaidi, Abderrahim
    Satori, Khalid
    MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (11) : 14251 - 14276
  • [5] Enhancement of sparse 3D reconstruction using a modified match propagation based on particle swarm optimization
    Soulaiman El Hazzat
    Mostafa Merras
    Nabil El Akkad
    Abderrahim Saaidi
    Khalid Satori
    Multimedia Tools and Applications, 2019, 78 : 14251 - 14276
  • [6] A Low-Noise Variable-Gain Amplifier for in-Probe 3D Imaging Applications Based on CMUT Transducers
    Attarzadeh, Hourieh
    Ytterdal, Trond
    2014 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI (ISVLSI), 2014, : 257 - 261
  • [7] 2D/3D Face Recognition Using Neural Networks Based on Hybrid Taguchi-Particle Swarm Optimization
    Lin, Cheng-Jian
    Chu, Chen-Hsiang
    Lee, Chi-Yung
    Huang, Ya-Tzu
    ISDA 2008: EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 2, PROCEEDINGS, 2008, : 307 - +
  • [8] 2D/3D FACE RECOGNITION USING NEURAL NETWORK BASED ON HYBRID TAGUCHI-PARTICLE SWARM OPTIMIZATION
    Lin, Cheng-Jian
    Wang, Jyun-Guo
    Chen, Shyi-Ming
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2011, 7 (02): : 537 - 553
  • [9] A Novel Bundle Adjustment Approach Based on Guess-Aided and Angle Quantization Multiobjective Particle Swarm Optimization (GAMOPSO) for 3D Reconstruction Applications
    Alndiwee, Maher
    Al-Mahairi, Mohamed Mazen
    Hamdan, Raouf
    IEEE ACCESS, 2022, 10 : 71508 - 71520
  • [10] Finding Ideal Parameters for Recycled Material Fused Particle Fabrication-Based 3D Printing Using an Open Source Software Implementation of Particle Swarm Optimization
    Oberloier, Shane
    Whisman, Nicholas G.
    Pearce, Joshua M.
    3D PRINTING AND ADDITIVE MANUFACTURING, 2023, 10 (06) : 1287 - 1300