scholarly journals 5GHz MMIC LNA Design Using Particle Swarm Optimization

2013 ◽  
Vol 5 (6) ◽  
pp. 257-262
Author(s):  
Low Wen Shin ◽  
Arjuna Marzuki .
Keyword(s):  
Particle Swarm Optimization ◽  
Integrated Circuit ◽  
Noise Figure ◽  
Particle Swarm ◽  
Low Noise ◽  
Design System ◽  
Stability Factor ◽  
Power Gain ◽  
Swarm Optimization ◽  
5 Ghz

This research presents an optimization study of a 5 GHz Monolithic Microwave Integrated Circuit (MMIC) design using Particle Swarm Optimization (PSO). MMIC Low Noise Amplifier (LNA) is a type of integrated circuit device used to capture signal operating in the microwave frequency. This project consists of two stages: implementation of PSO using MATLAB and simulation of MMIC design using Advanced Design System (ADS). PSO model that mimics the biological swarm behavior is developed to optimize the MMIC design variables in order to achieve the required circuit performance and specifications such as power gain, noise figure, drain current and circuit stability factor. Simulation results show that the proposed MMIC design fulfills the circuit stability factor and achieves a power gain of 19.73dB, a noise figure of 1.15 dB and a current of 0.0467A.

Design Optimization for Fir-Tree Root of Turbine Blade Considering Manufacturing Variations

2013 ◽  
Vol 694-697 ◽  
pp. 2733-2737
Author(s):  
Qin Zhou ◽  
Ming Hui Zhang ◽  
Hui Yong Chen ◽  
Yong Hui Xie
Keyword(s):  
Particle Swarm Optimization ◽  
Turbine Blade ◽  
Equivalent Stress ◽  
Particle Swarm ◽  
Pattern Search ◽  
Design System ◽  
Contact Method ◽  
Swarm Optimization ◽  
Maximum Equivalent Stress ◽  
Manufacturing Variation

An optimization design system for fir-tree root of turbine blade has been developed in this paper. In the system, a parametric model of the blade and rim was established based on the parametric design language APDL, and nonlinear contact method was used for analysis by ANSYS, meanwhile some optimization algorithms, such as Pattern Search Algorithm, Genetic Algorithm, Simulated Annealing Algorithm and Particle Swarm Optimization, were adopted to control the optimizing process. Five cases of manufacturing variation in contact surfaces between root and rim were taken into account, and the design objective was to minimize the maximum equivalent stress of root-rim by optimizing eight critical geometrical dimensions of the root and rim. As a result, the maximum equivalent stress of root-rim decreases markedly after the optimization in all cases. In consideration of both precision and computing time, particle swarm optimization is assessed as the best algorithm to solve structure optimization problem in this work. Corresponding to five different cases of manufacturing variation, the maximum equivalent stress of root and rim reduces by 7%, 8%; 27%, 24%; 27%, 22%; 25%, 19%; 10%, 14% using the Particle Swarm Optimization.

scholarly journals Metamodelling Techniques for the Optimal Design of Low-Noise Amplifiers

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 787
Author(s):  
Amel Garbaya ◽  
Mouna Kotti ◽  
Mourad Fakhfakh ◽  
Esteban Tlelo-Cuautle
Keyword(s):  
Particle Swarm Optimization ◽  
Optimal Design ◽  
Noise Figure ◽  
Low Noise ◽  
Low Noise Amplifiers ◽  
Scattering Parameters ◽  
Perfect Agreement ◽  
Swarm Optimization ◽  
The Third ◽  
Intercept Point

In this article we deal with the optimal sizing of low-noise amplifiers (LNAs) using newly proposed metamodeling techniques. The main objective is to construct metamodels of main performances of the LNAs (namely, the third intercept point (IIP3), the scattering parameters (Sij), and the noise figure (NF)) and use them inside an optimization kernel for maximizing the circuits’ performances. The kriging surrogate modelling technique is used for constructing these models. The particle swarm optimization (PSO) technique is considered as the optimization metaheuristic. Two CMOS amplifiers are considered: a UMTS LNA and a multistandard LNA. Obtained results show that, at the considered working frequencies, the first LNA exhibits at 2.14 GHz a noise figure of 1.30 dB, an S21 of 16.01 dB, an S11 of −12.60 dB, and an IIP3 of 8.30 dBm. At 2 GHz, the second LNA has a noise figure of 1.24 dB, an S21 of 17.16 dB, an S11 of −13.74 dB, and an IIP3 of 4.30 dBm. Comparisons between results obtained using the constructed models and those of the simulation are presented to show the perfect agreement between them.

scholarly journals Design And Analysis Of CMOS Low Noise Amplifier Circuit For 5-GHz Cascode and Folded Cascode In 180nm Technology

2018 ◽  
Vol 7 (3) ◽  
pp. 143
Author(s):  
T. Kanthi ◽  
D. Sharath Babu Rao
Keyword(s):  
Noise Figure ◽  
Cmos Technology ◽  
Low Noise ◽  
Low Noise Amplifier ◽  
Common Source ◽  
Power Gain ◽  
Amplifier Circuit ◽  
Folded Cascode ◽  
Noise Amplifier ◽  
5 Ghz

This paper is about Low noise amplifier topologies based on 0.18µm CMOS technology. A common source stage with inductive degeneration, cascode stage and folded cascode stage is designed, simulated and the performance has been analyzed. The LNA’s are designed in 5GHz. The LNA of cascode stage of noise figure (NF) 2.044dB and power gain 4.347 is achieved. The simulations are done in cadence virtuoso spectre RF.

scholarly journals A COMPARISON OF SIMULATED ANNEALING, GENETIC ALGORITHM AND PARTICLE SWARM OPTIMIZATION IN OPTIMAL FIRST-ORDER DESIGN OF INDOOR TLS NETWORKS

2017 ◽  
Vol IV-2/W4 ◽  
pp. 75-82 ◽  
Author(s):  
F. Jia ◽  
D. Lichti
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Simulated Annealing ◽  
Particle Swarm ◽  
Optimal Solution ◽  
Optimization Methods ◽  
Network Design Problem ◽  
Design System ◽  
Swarm Optimization ◽  
First Order

The optimal network design problem has been well addressed in geodesy and photogrammetry but has not received the same attention for terrestrial laser scanner (TLS) networks. The goal of this research is to develop a complete design system that can automatically provide an optimal plan for high-accuracy, large-volume scanning networks. The aim in this paper is to use three heuristic optimization methods, simulated annealing (SA), genetic algorithm (GA) and particle swarm optimization (PSO), to solve the first-order design (FOD) problem for a small-volume indoor network and make a comparison of their performances. The room is simplified as discretized wall segments and possible viewpoints. Each possible viewpoint is evaluated with a score table representing the wall segments visible from each viewpoint based on scanning geometry constraints. The goal is to find a minimum number of viewpoints that can obtain complete coverage of all wall segments with a minimal sum of incidence angles. The different methods have been implemented and compared in terms of the quality of the solutions, runtime and repeatability. The experiment environment was simulated from a room located on University of Calgary campus where multiple scans are required due to occlusions from interior walls. The results obtained in this research show that PSO and GA provide similar solutions while SA doesn’t guarantee an optimal solution within limited iterations. Overall, GA is considered as the best choice for this problem based on its capability of providing an optimal solution and fewer parameters to tune.

scholarly journals Design And Analysis Of CMOS Low Noise Amplifier Circuit For 5-GHz Cascode and Folded Cascode In 180nm Technology

2018 ◽  
Vol 7 (3) ◽  
pp. 149
Author(s):  
T. Kanthi ◽  
D. Sharath Babu Rao
Keyword(s):  
Noise Figure ◽  
Cmos Technology ◽  
Low Noise ◽  
Low Noise Amplifier ◽  
Common Source ◽  
Power Gain ◽  
Amplifier Circuit ◽  
Folded Cascode ◽  
Noise Amplifier ◽  
5 Ghz

This paper is about Low noise amplifier topologies based on 0.18µm CMOS technology. A common source stage with inductive degeneration, cascode stage and folded cascode stage is designed, simulated and the performance has been analyzed. The LNA’s are designed in 5GHz. The LNA of cascode stage of noise figure (NF) 2.044dB and power gain 4.347 is achieved. The simulations are done in cadence virtuoso spectre RF.

scholarly journals A new technique to design planar dipole antennas by using Bezier curve and Particle Swarm Optimization

2016 ◽  
Vol 65 (3) ◽  
pp. 513-525 ◽  
Author(s):  
Nuttaka Homsup ◽  
Winyou Silabut ◽  
Vuttichai Kesornpatumanum ◽  
Pravit Boonek ◽  
Waroth Kuhirun
Keyword(s):  
Particle Swarm Optimization ◽  
Ieee 802.11 ◽  
Particle Swarm ◽  
New Technique ◽  
Dual Band ◽  
Bézier Curve ◽  
Bezier Curve ◽  
Swarm Optimization ◽  
A New Technique ◽  
5 Ghz

Abstract This research presents a new technique which includes the principle of a Bezier curve and Particle Swarm Optimization (PSO) together, in order to design the planar dipole antenna for the two different targets. This technique can improve the characteristics of the antennas by modifying copper textures on the antennas with a Bezier curve. However, the time to process an algorithm will be increased due to the expansion of the solution space in optimization process. So as to solve this problem, the suitable initial parameters need to be set. Therefore this research initialized parameters with reference antenna parameters (a reference antenna operates on 2.4 GHz for IEEE 802.11 b/g/n WLAN standards) which resulted in the proposed designs, rapidly converted into the goals. The goal of the first design is to reduce the size of the antenna. As a result, the first antenna is reduced in the substrate size from areas of 5850 mm2 to 2987 mm2 (48.93% approximately) and can also operates at 2.4 GHz (2.37 GHz to 2.51 GHz). The antenna with dual band application is presented in the second design. The second antenna is operated at 2.4 GHz (2.40 GHz to 2.49 GHz) and 5 GHz (5.10 GHz to 5.45 GHz) for IEEE 802.11 a/b/g/n WLAN standards.

scholarly journals Adapted particle swarm optimization algorithm–based layout design optimization of passenger car cockpit for enhancing ergonomic reliability

2019 ◽  
Vol 11 (3) ◽  
pp. 168781401983780
Author(s):  
Xin Liu ◽  
Zheng Liu ◽  
Suihuai Yu ◽  
Tiancheng Gong
Keyword(s):  
Particle Swarm Optimization ◽  
Design Optimization ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Layout Design ◽  
Design System ◽  
Swarm Optimization ◽  
Passenger Car ◽  
Multiple Attribute

The mechanical reliability problem of passenger car cockpit facilities layout is increasingly complex and has potential and uncertain risks for human safety while the number of private cars is increasing. A new system of layout design optimization is proposed to solve this problem. First, the optimization sequences of facilities are determined using a hybrid method of multiple-attribute decision-making and entropy. Second, the degree of feeling crowded in the cockpit layout can be adjusted based on customers’ preference. Third, an adapted particle swarm optimization algorithm is proposed to solve the problem of three-dimensional layout optimization in car cockpit human–machine interface according to the ergonomic principles, and the adapted algorithm called smoothing iteration particle swarm optimization is contrasted with those of other common algorithms to demonstrate its advantages. Finally, the optimized layout is analyzed by virtual simulations and compared with the original layout to show the feasibility and effectiveness of the proposed design system. Analysis results indicate that the optimized layout by the new particle swarm optimization can make the operation easier and safer than the original one to enhance ergonomic reliability.

An Efficient Particle Swarm Optimization for Large-Scale Hardware/Software Co-Design System

2018 ◽  
Vol 27 (01) ◽  
pp. 1741001 ◽  
Author(s):  
Xiaohu Yan ◽  
Fazhi He ◽  
Neng Hou ◽  
Haojun Ai
Keyword(s):  
Particle Swarm Optimization ◽  
Large Scale ◽  
Particle Swarm ◽  
Population Diversity ◽  
Design System ◽  
Local Optimum ◽  
Solution Quality ◽  
Swarm Optimization ◽  
Simple Implementation ◽  
Biology Research

In the co-design process of hardware/software (HW/SW) system, especially for large and complicated embedded systems, HW/SW partitioning is a challenging step. Among different heuristic approaches, particle swarm optimization (PSO) has the advantages of simple implementation and computational efficiency, which is suitable for solving large-scale problems. This paper presents a conformity particle swarm optimization with fireworks explosion operation (CPSO-FEO) to solve large-scale HW/SW partitioning. First, the proposed CPSO algorithm simulates the conformist mentality from biology research. The CPSO particles with psychological conformist always try to move toward a secure point and avoid being attacked by natural enemy. In this way, there is a greater possibility to increase population diversity and avoid local optimum in CPSO. Next, to enhance the search accuracy and solution quality, an improved FEO with new initialization strategy is presented and is combined with CPSO algorithm to search a better position for the global best position. This combination can keep both the diversified and intensified searching. At last, the experiments on benchmarks and large-scale HW/SW partitioning demonstrate the efficiency of the proposed algorithm.

Sign in / Sign up

Export Citation Format

Share Document