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A circuit model for mutual coupling analysis of a finite antenna array

IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY 1996年第3期38卷 483-489页

作者： Lee, KC Chu, TH Department of Electrical Engineering National Taiwan University Taipei Taiwan

In this paper, a circuit model is developed to represent the input admittance of an antenna array with a finite number of elements. This model consists of a component to represent the input admittance of an isolated antenna element and infinite shunt components with each to represent different degrees of antenna mutual coupling effects. Twersky's algorithm of multiple scattering analysis is used to illustrate the physical meaning of each circuit component. Numerical results show that good accuracy for the antenna input admittance calculation can be obtained by using this model to the second order approximation. As the array is large and sparse, a very small amount of computation can yield good accuracy, This model is shown not only to be numerically efficient compared to the full wave analysis using the moment method, but also to give physical insight into the antenna array mutual coupling mechanism, Furthermore, this model has no limitation on antenna array geometry and excitation.

关键词： Circuits Mutual coupling Antenna arrays Admittance Electromagnetic compatibility Antenna accessories Electromagnetic scattering algorithm design and analysis Moment methods Solid modeling

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BEHAVIORAL-LEVEL FAULT SIMULATION

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IEEE design & TEST OF COMPUTERS 1988年第3期5卷 31-42页

作者： GHOSH, S AT&T BELL LABS DEPT KNOWLEDGE SYSTMURRAY HILLNJ 07974

An approach to fault simulation is presented in which behavioral fault models represent complex failures in VLSI designs. Errors are deliberately introduced into the description of a design that contains no faults. These errors can be fault values of variables that represent state or timing parameters, a faulty description that is substituted for part of the good description, or a combination of these. The algorithm guarantees accurate results by deferring the output assignments. The approach can also be used to detect and discard inconsistent output assignments. The algorithm has been implemented in Stanford University's Sable simulator using the Adlib behavioral modeling language.

关键词： Counting circuits Clocks Timing Testing Hardware algorithm design and analysis Microprocessors Reactive power Fault diagnosis Fault detection

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WORST CASE CRAMER-RAO BOUNDS FOR PARAMETRIC-ESTIMATION OF SUPERIMPOSED SIGNALS WITH APPLICATIONS

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 1992年第12期40卷 2973-2986页

作者： YAU, SF BRESLER, Y UNIV ILLINOIS DEPT ELECT & COMP ENGN COORDINATED SCI LAB URBANA IL 61801 USA

The problem of parameter estimation of superimposed signals in white Gaussian noise is considered. The effect of the correlation structure of the signals on the Cramer-Rao bounds is studied for both the single and multiple experiment cases. The best and worst conditions are found using various criteria. The results are applied to the example of parameter estimation of superimposed sinusoids, or plane-wave direction finding in white Gaussian noise, and best and worst conditions on the correlation structure and relative phase of the sinusoids are found. This provides useful information on the limits of the resolvability of sinusoidal signals in time series analysis or of plane waves in array processing. The conditions are also useful for designing worst case simulation studies of estimation algorithms, and for the design of minimax signal acquisition and estimation procedures as demonstrated by an example.

关键词： Parameter estimation Gaussian noise Signal design algorithm design and analysis Signal resolution Signal processing Information analysis Signal analysis Time series analysis Array signal processing

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A Hybrid Sperm Swarm Optimization and Genetic algorithm for Unimodal and Multimodal Optimization Problems

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IEEE ACCESS 2022年 10卷 109580-109596页

作者： Raj, Bryan Ahmedy, Ismail Idris, Mohd Yamani Idna Noor, Rafidah Md Univ Malaya Fac Comp Sci & Informat Technol Dept Comp Syst & Technol Kuala Lumpur 50603 Malaysia Univ Malaya Fac Comp Sci & Informat Technol Ctr Mobile Cloud Comp Kuala Lumpur 50603 Malaysia

A good exploration ability can ensure that the method jumps out of local optimum in multimodal problems and a good exploitation can ensure an algorithm converge faster to global optimum values. So, this paper proposes a new hybrid sperm swarm optimization and genetic algorithm to obtain global optimal solutions termed HSSOGA which is developed based on the concept of balancing the exploration and exploitation capability by merging Sperm Swarm Optimization (SSO), which has a fast convergence rate, and a Genetic algorithm (GA) that can explore a search domain efficiently. To ensure that the proposed method delivers good performance, it is evaluated with 11 standard test function problems consisting of 5 unimodal and 6 multimodal functions. The proposed HSSOGA set is compared with conventional GA and SSO methods, as well as with several hybrid methods such as Hybrid Firefly and Particle Swarm Optimization (HFPSO), hybrid Simulated Annealing and Genetic algorithm (SAGA), Hybrid Particle Swarm Optimization and Genetic algorithm (HFPSO), hybrid Particle Swarm Optimization and Grey Wolf Optimization (PSOGWO), and closely related Hybrid Sperm Swarm Optimization and Gravitational Search algorithm (HSSOGSA). The results are evaluated in terms of each method's best fitness, mean, standard deviation, and convergence rates. The numerical experiment results show that HSSOGA has better convergence towards the true global optimum values as compared to the conventional and existing hybrid methods in most unimodal and multimodal test function problems.

关键词： Genetic algorithms Metaheuristics Particle swarm optimization Convergence Standards Simulated annealing Genetics algorithm design and analysis Optimization algorithm genetic algorithm hybrid metaheuristic multimodal optimization sperm swarm optimization unimodal

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VLSI implementation of a selective median filter

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 1996年第1期42卷 33-42页

作者： Chen, CT Chen, LG Hsiao, JH Department of Electrical Engineering National Taiwan University Taipei Taiwan

In this paper, the VLSI implementation of a selective median filter for the real-time applications is presented. The proposed design is based on a novel bit-level running algorithm with a modular and parallel in structure. A chip designed by the cell-based style is demonstrated to show the hardware realization. The performance of the proposed design is also presented.

关键词： Very large scale integration Filters Pipelines Sorting Hardware Filtering algorithm design and analysis Statistics Throughput Delay

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ParadisEO-MO: from fitness landscape analysis to efficient local search algorithms

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JOURNAL OF HEURISTICS 2013年第6期19卷 881-915页

作者： Humeau, J. Liefooghe, A. Talbi, E-G Verel, S. Ecole Mines Douai Dept IA F-59508 Douai France Inria Lille Nord Europe DOLPHIN Res Team F-59650 Villeneuve Dascq France Univ Lille 1 UMR CNRS 8022 Lab LIFL F-59655 Villeneuve Dascq France Univ Nice Sophia Antipolis UMR CNRS 6070 Lab I3S F-06903 Sophia Antipolis France

This paper presents a general-purpose software framework dedicated to the design, the analysis and the implementation of local search metaheuristics: ParadisEO-MO. A substantial number of single solution-based local search metaheuristics has been proposed so far, and an attempt of unifying existing approaches is here presented. Based on a fine-grained decomposition, a conceptual model is proposed and is validated by regarding a number of state-of-the-art methodologies as simple variants of the same structure. This model is then incorporated into the ParadisEO-MO software framework. This framework has proven its efficiency and high flexibility by enabling the resolution of many academic and real-world optimization problems from science and industry.

关键词： Local search Metaheuristic Fitness landscapes Conceptual unified model algorithm design and analysis Software framework

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Process variation effects on circuit performance: TCAD simulation of 256-Mbit technology

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IEEE TRANSACTIONS ON COMPUTER-AIDED design OF INTEGRATED CIRCUITS AND SYSTEMS 1997年第11期16卷 1383-1389页

作者： Murthy, CS Gall, M IBM Corp Semicond Res & Dev Ctr Hopewell Junction NY 12533 USA Siemens Components Inc DRAM Dev Alliance Hopewell Junction NY 12533 USA

This paper describes the first study of the complete sequence from process simulation to circuit performance and the corresponding sensitivities for 0.25-mu m technology. This is made possible by a combination of physically based process models and a systematic calibration involving SIMS, one-dimensional (1-D), and two-dimensional (2-D), device characteristics. Simulated nFET and pFET characteristics match hardware (HW) within 5-10% for both long-channel and nominal length devices. Simulated ring-oscillator performance is in good agreement with HW data. Sensitivities of device characteristics and the inverter gate delay to process variations (within 10%) are quantified. These investigations establish the correlation between process variations and circuit performance.

关键词： Circuit optimization Circuit simulation algorithm design and analysis Logic testing Switches Routing Programmable logic arrays Programmable logic devices Books Field programmable gate arrays

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STATISTICALLY THINNED ARRAYS WITH QUANTIZED ELEMENT WEIGHTS

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IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION 1991年第4期39卷 436-447页

作者： MAILLOUX, RJ COHEN, E ARCON CORP DIV PHYS SCIWALTHAMMA 02154

This paper investigates the use of statistical thinning and quantized element weights to produce low sidelobe patterns using large circular array apertures. The major result of the analysis is a comparison of several thinning algorithms and the evaluation of sidelobe gain and effective radiated power data for large, but otherwise arbitrary size arrays.

关键词： Apertures Lighting algorithm design and analysis Solid state circuits Power generation economics Electromagnetic forces Quantization

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Model-Predictive Motion Planning Several Key Developments for Autonomous Mobile Robots

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IEEE ROBOTICS & AUTOMATION MAGAZINE 2014年第1期21卷 64-73页

作者： Howard, Thomas M. Pivtoraiko, Mihail Knepper, Ross A. Kelly, Alonzo MIT Comp Sci & Artificial Intelligence Lab Cambridge MA 02139 USA Univ Penn Grasp Lab Philadelphia PA 19104 USA Carnegie Mellon Univ Inst Robot Pittsburgh PA 15213 USA

A necessary attribute of a mobile robot planning algorithm is the ability to accurately predict the consequences of robot actions to make informed decisions about where and how to drive. It is also important that such methods are efficient, as onboard computational resources are typically limited and fast planning rates are often required. In this article, we present several practical mobile robot motion planning algorithms for local and global search, developed with a common underlying trajectory generation framework for use in model-predictive control. These techniques all center on the idea of generating informed, feasible graphs at scales and resolutions that respect computational and temporal constraints of the application. Connectivity in these graphs is provided by a trajectory generator that searches in a parameterized space of robot inputs subject to an arbitrary predictive motion model. Local search graphs connect the currently observed state-to-states at or near the planning or perception horizon. Global search graphs repeatedly expand a precomputed trajectory library in a uniformly distributed state lattice to form a recombinant search space that respects differential constraints. In this article, we discuss the trajectory generation algorithm, methods for online or offline calibration of predictive motion models, sampling strategies for local search graphs that exploit global guidance and environmental information for real-time obstacle avoidance and navigation, and methods for efficient design of global search graphs with attention to optimality, feasibility, and computational complexity of heuristic search. The model-invariant nature of our approach to local and global motions planning has enabled a rapid and successful application of these techniques to a variety of platforms. Throughout the article, we also review experiments performed on planetary rovers, field robots, mobile manipulators, and autonomous automobiles and discuss future directions of

关键词： Predictive models Trajectory Path planning Mobile robots Computational modeling Motion detection algorithm design and analysis Autonomous vehicles Navigation

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A 3-D ELECTROMAGNETIC SIMULATOR FOR HIGH-FREQUENCY APPLICATIONS

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IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY PART B-ADVANCED PACKAGING 1995年第1期18卷 112-118页

作者： ZHENG, JX Zeland Software Inc. Fremont CA USA

A general purpose full-wave electromagnetic simulator IE3-D has been developed for the analysis and design of high-frequency and high-speed electronic circuit structures. For an arbitrarily shaped 3-D metallic layered structure, the integral equation, and method of moment-based simulator solves the current distribution on the structure expanded into roof-top functions on a set of 3-D triangular and rectangular cells, The circuit parameters are extracted from the solved current distribution in the form of either S-parameters frequency response and RLC-equivalent circuit in SPICE format.

关键词： Frequency Circuit simulation Integral equations Analytical models algorithm design and analysis Current distribution Electronic circuits Coupling circuits Electromagnetic radiation Electromagnetic analysis

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