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Electrical and Computer Engineering

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2008

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Articles 1 - 30 of 449

Full-Text Articles in Engineering

Thermal Modeling Of On-Chip Interconnects And 3d Packaging Using Em Tools, Lijun Jiang, Seshadri Kolluri, Barry J. Rubin, Howard Smith, Evan G. Colgan, Michael R. Scheuermann, Jamil A. Wakit, Alina Deutsch, Jason Gill Dec 2008

Thermal Modeling Of On-Chip Interconnects And 3d Packaging Using Em Tools, Lijun Jiang, Seshadri Kolluri, Barry J. Rubin, Howard Smith, Evan G. Colgan, Michael R. Scheuermann, Jamil A. Wakit, Alina Deutsch, Jason Gill

Electrical and Computer Engineering Faculty Research & Creative Works

The green (low power) chip design demands dramatic thermal and electrical simulation capabilities. In this paper, a novel thermal simulation approach for automatic thermal modeling of very large problems is introduced. This methodology can be fully integrated with existing solvers for electrical simulations, and make it possible to analyze practical on-chip and packaging thermal problems using the existing electromagnetic tools and geometry definitions, with very small additional effort. Its various applications to BEOL (on-chip wiring), thermal guideline design, and 3D integration (for multiple chip stacks) thermal modeling are investigated in this paper. We will demonstrate this capability with an automatic …

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Methods And Apparatus For Preventing A Third Party From Overhearing A Telephone Conversation, Thaddeus Gabara, Vladimir I. Prodanov Dec 2008

Methods And Apparatus For Preventing A Third Party From Overhearing A Telephone Conversation, Thaddeus Gabara, Vladimir I. Prodanov

Electrical Engineering

Methods and apparatus are provided for preventing a third party from listening to a conversation between at least two participants on a telephone. The telephone generates an audio stimulus signal that is presented through a secondary speaker. The audio stimulus signal may be, for example, pseudorandom noise or a cancellation signal. According to one aspect of the invention, the telephone ensures that the audio stimulus signal does not significantly impair the conversation for the at least two participants. To prevent the third party from listening to the local portion of the conversation, the audio stimulus signal is subtracted from the …

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Secondary Electron Imaging Of Embedded Defects In Carbon Nanofiber Via Interconnects, Makoto Suzuki, Yusuke Ominami, Takashi Sekiguchi, Cary Y. Yang Dec 2008

Secondary Electron Imaging Of Embedded Defects In Carbon Nanofiber Via Interconnects, Makoto Suzuki, Yusuke Ominami, Takashi Sekiguchi, Cary Y. Yang

Electrical and Computer Engineering

Carbon nanofiber (CNF) via interconnect test structures are fabricated with the bottom-up process proposed by Li et al. [Appl. Phys. Lett. 82, 2491 (2003)] for next-generation integrated circuit technology. Critical defects in the interconnect structure are examined using scanning electron microscopy. It is shown that secondary electron signal with optimized incident beam energy is useful for detecting embedded defects, including unexposed CNF plugs and voids in the dielectric layer. The defect imaging mechanisms are elucidated based on beam-induced charging of the specimen surface.

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Estimating Tmr Reliability On Fpgas Using Markov Models, Daniel Mcmurtrey, Keith S. Morgan, Brian Pratt, Michael J. Wirthlin Dec 2008

Estimating Tmr Reliability On Fpgas Using Markov Models, Daniel Mcmurtrey, Keith S. Morgan, Brian Pratt, Michael J. Wirthlin

Faculty Publications

This paper summarizes several reliability models for modeling FPGA reliability using Markov models.

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Electromagnetic Emissions Stimulation And Detection System, Daryl G. Beetner, Sarah A. Seguin, Todd H. Hubing Dec 2008

Electromagnetic Emissions Stimulation And Detection System, Daryl G. Beetner, Sarah A. Seguin, Todd H. Hubing

Electrical and Computer Engineering Faculty Research & Creative Works

A system and method for detecting and identifying electronic devices based on their unintended electromagnetic emissions (“UEE”) signals is presented. During device classification, UEE signals are measured from a plurality of test devices and characteristic data is obtained from the UEE signal emitted from each test device. Using the characteristic data, a threshold value and ideal pulse template can be determined for each test device and stored in a memory. An ideal stimulation signal is also determined for each test device and stored in the memory. During device detection, the ideal stimulation signal is applied to the environment in which …

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Automatic Generation Of Decomposition Based Matrix Inversion Architectures, Ali Irturk, Bridget Benson, Arash Arfaee, Ryan Kastner Dec 2008

Automatic Generation Of Decomposition Based Matrix Inversion Architectures, Ali Irturk, Bridget Benson, Arash Arfaee, Ryan Kastner

Electrical Engineering

Matrix inversion is an essential computation for various algorithms which are employed in multi-antenna wireless communication systems. FPGAs are ideal platforms for wireless communication; however, the need for vast amounts of customization throughout the design process of a matrix inversion core can overwhelm the designer. Decomposition methods provide the analytic simplicity and computational convenience necessary for computationally intensive matrix inversion. This paper presents automatic generation of different decomposition based matrix inversion architectures using a matrix inversion core generator tool, GUSTO with different parameterization options. We present automatic generation of a variety of general purpose matrix inversion architectures which have comparable …

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Dependence Of The Performance Of Single Photon Avalanche Diodes On The Multiplication Region Width, David A. Ramirez, Majeed M. Hayat, Mark A. Itzler Dec 2008

Dependence Of The Performance Of Single Photon Avalanche Diodes On The Multiplication Region Width, David A. Ramirez, Majeed M. Hayat, Mark A. Itzler

Electrical and Computer Engineering Faculty Research and Publications

The dependence of the performance of separate-absorption-multiplication (SAM) single-photon avalanche diodes (SPADs) on the width of the multiplication region is theoretically investigated. The theory is applied to SAM SPADs with InP homojunction multiplication regions and InAlAs-InP heterojunction multiplication regions. In both cases the absorber layer is InGaAs. Two scenarios for the dark counts are considered: (i) low-temperature operation, when the number of dark carriers is dominated by field-assisted mechanisms of band-to-band tunneling and tunneling through defects; and (ii) room-temperature operation, when the number of dark carriers in the multiplication region is dominated by the generation/recombination mechanism. The analysis utilizes a …

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A Small Scale Static Var Compensator For Laboratory Experiment, Taufik, Bryan Paet Dec 2008

A Small Scale Static Var Compensator For Laboratory Experiment, Taufik, Bryan Paet

Electrical Engineering

This paper presents a small scale static VAR compensator (SVC) circuit that could be used as either a laboratory demonstration or a laboratory experiment. The small scale SVC lab experiment effectively demonstrates SVCpsilas function in correcting power factor through the use of power thyristors in a phase-controlled circuit. The laboratory setup of the SVC circuit using a thyristor controlled reactor in parallel with a capacitor will discussed in this paper. Results from the lab setup to exhibit firing angle adjustment to inject or absorb VARs into the system will also be described.

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Impact Of Multiple Adjustable Speed Drive System To Power System Harmonics, Taufik, Erin Matsumoto, Makbul Anwari Dec 2008

Impact Of Multiple Adjustable Speed Drive System To Power System Harmonics, Taufik, Erin Matsumoto, Makbul Anwari

Electrical Engineering

This paper presents harmonic analysis in a multiple adjustable speed drive system. In a system where multiple drives are fed from the same bus, harmonic currents produced by the various drives can reflect back to the power source and to the other drives causing distortion of the voltage waveform. If these harmonic currents are significant, they can potentially cause problems for the given system. Therefore studying the harmonics at various points in the system and comparing the values of total harmonic distortion can provide guidance in choosing appropriate filtering solutions. A two AC drive system was setup in a laboratory …

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Load Sharing Characteristic Of Single Phase Pv Inverter Connected To Grid, M. Imram Hamid, Makbul Anwari, Z. Salam, Taufik Dec 2008

Load Sharing Characteristic Of Single Phase Pv Inverter Connected To Grid, M. Imram Hamid, Makbul Anwari, Z. Salam, Taufik

Electrical Engineering

This paper describes model and simulation of single phase PV inverters that work independently to supply three phase system as a part of renewable distributed generation. Load sharing characteristic of PV inverter and grid during supplying local load with current control method and relation of PV power level and current control performance to load sharing are simulated and analyzed. Furthermore, power quality behavior during connection/disconnection of PV plant, grid harmonics, voltage and current unbalance are simulated and analyzed. Model and simulation are implemented using MATLAB/Simulink.

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Power Quality Behavior Of Single Phase Fed Adjustable Speed Drive Supplied From Grid Of Pv Generation, Makbul Anwari, M. Imran Hamid, Taufik Dec 2008

Power Quality Behavior Of Single Phase Fed Adjustable Speed Drive Supplied From Grid Of Pv Generation, Makbul Anwari, M. Imran Hamid, Taufik

Electrical Engineering

Power quality behavior on connecting single phase fed adjustable speed drives to a grid which photovoltaic as the power generation is studied in this paper. A MATLAB/Simulink simulations are performed to investigate the existence of power quality parameter and the system problems that may be resulted from operation of this type of load. The results indicate a potential serious power quality problem with the connected adjustable speed drives, which requires consideration during operation of PV generation which a number of this dynamic load.

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A Three-Dimensional Pattern-Space Representation For Volumetric Arrays, William C. Barott, Paul G. Steffes Dec 2008

A Three-Dimensional Pattern-Space Representation For Volumetric Arrays, William C. Barott, Paul G. Steffes

Publications

A three-dimensional pattern-space representation is presented for volumetric arrays. In this representation, the radiation pattern of an array is formed by the evaluation of the three-dimensional pattern-space on a spherical surface. The scan angle of the array determines the position of this surface within the pattern-space. This pattern-space representation is used in conjunction with a genetic algorithm to minimize the sidelobe levels exhibited by a thinned volumetric array during scanning.

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A Reconfigurable Motor For Experimental Emulation Of Stator Winding Inter-Turn And Broken Bar Faults In Polyphase Induction Machines (Journal Article), Chia-Chou Yeh, Gennadi Y. Sizov, Ahmed Sayed-Ahmed, Nabeel Demerdash, Richard J. Povinelli, Edwin E. Yaz, Dan M. Ionel Dec 2008

A Reconfigurable Motor For Experimental Emulation Of Stator Winding Inter-Turn And Broken Bar Faults In Polyphase Induction Machines (Journal Article), Chia-Chou Yeh, Gennadi Y. Sizov, Ahmed Sayed-Ahmed, Nabeel Demerdash, Richard J. Povinelli, Edwin E. Yaz, Dan M. Ionel

Electrical and Computer Engineering Faculty Research and Publications

The benefits and drawbacks of a 5-hp reconfigurable induction motor, which was designed for experimental emulation of stator winding interturn and broken rotor bar faults, are presented in this paper. It was perceived that this motor had the potential of quick and easy reconfiguration to produce the desired stator and rotor faults in a variety of different fault combinations. Hence, this motor was anticipated to make a useful test bed for evaluation of the efficacy of existing and new motor fault diagnostics techniques and not the study of insulation failure mechanisms. Accordingly, it was anticipated that this reconfigurable motor would …

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Secondary Electron Emission From Freely Supported Nanowires, Makoto Suzuki, Kazuhiro Kumagai, Takashi Sekiguchi, Alan M. Cassell, Tsutomu Saito, Cary Y. Yang Dec 2008

Secondary Electron Emission From Freely Supported Nanowires, Makoto Suzuki, Kazuhiro Kumagai, Takashi Sekiguchi, Alan M. Cassell, Tsutomu Saito, Cary Y. Yang

Electrical and Computer Engineering

We present secondary electron (SE) emission results from freely supported carbon/silicon nitride (Si3N4) hybrid nanowires using scanning electron microscopy. We found that, contrary to bulk materials, the SE emission from insulating or electrically isolated metallic nanowires is strongly suppressed by the penetrating beam. A mechanism of the SE suppression by the positive specimen charging is proposed, which is based on a total emission yield calculation using the Monte Carlo technique. This finding provides an important basis for studying low-energy electron emission from nanostructures under a penetrating electron beam.

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An Empirical Study Of Performance Benefits Of Network Coding In Multihop Wireless Networks, Y. Charlie Hu, Chih-Chun Wang Dec 2008

An Empirical Study Of Performance Benefits Of Network Coding In Multihop Wireless Networks, Y. Charlie Hu, Chih-Chun Wang

Department of Electrical and Computer Engineering Technical Reports

Recently, network coding has gained much popularity and several practical routing schemes have been proposed for wireless mesh networks that exploit interflow network coding for improved throughput. However, the evaluation of these protocols either assumed simple topologies and traffic patterns such as opposite flows along a single chain, or small, dense networks which have ample overhearing of each other’s transmissions in addition to many overlapping flows. In this paper, we seek to answer the fundamental question: how much performance benefit from network coding can be expected for general traffic patterns in a moderate-sized wireless mesh network? We approach this question …

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Pmu Placement For Power System Observability Using Binary Particle Swarm Optimization, S. Chakrabarti, Ganesh K. Venayagamoorthy, E. Kyriakides Dec 2008

Pmu Placement For Power System Observability Using Binary Particle Swarm Optimization, S. Chakrabarti, Ganesh K. Venayagamoorthy, E. Kyriakides

Electrical and Computer Engineering Faculty Research & Creative Works

A binary particle swarm optimization (BPSO) based methodology for the optimal placement of phasor measurement units (PMUs) for complete observability of a power system is presented in this paper. The objectives of the optimization problem are to minimize the total number of PMUs required, and to maximize the measurement redundancy at the power system buses. Simulation results on the IEEE 14-bus and 30-bus test systems are presented in this paper.

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Neural Network Output Feedback Control Of A Quadrotor Uav, Jagannathan Sarangapani, Travis Alan Dierks Dec 2008

Neural Network Output Feedback Control Of A Quadrotor Uav, Jagannathan Sarangapani, Travis Alan Dierks

Electrical and Computer Engineering Faculty Research & Creative Works

A neural network (NN) based output feedback controller for a quadrotor unmanned aerial vehicle (UAV) is proposed. The NNs are utilized in the observer and for generating virtual and actual control inputs, respectively, where the NNs learn the nonlinear dynamics of the UAV online including uncertain nonlinear terms like aerodynamic friction and blade flapping. It is shown using Lyapunov theory that the position, orientation, and velocity tracking errors, the virtual control and observer estimation errors, and the NN weight estimation errors for each NN are all semi-globally uniformly ultimately bounded (SGUUB) in the presence of bounded disturbances and NN functional …

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Biogeography-Based Optimization, Daniel J. Simon Dec 2008

Biogeography-Based Optimization, Daniel J. Simon

Electrical and Computer Engineering Faculty Publications

Biogeography is the study of the geographical distribution of biological organisms. Mathematical equations that govern the distribution of organisms were first discovered and developed during the 1960s. The mindset of the engineer is that we can learn from nature. This motivates the application of biogeography to optimization problems. Just as the mathematics of biological genetics inspired the development of genetic algorithms (GAs), and the mathematics of biological neurons inspired the development of artificial neural networks, this paper considers the mathematics of biogeography as the basis for the development of a new field: biogeography-based optimization (BBO). We discuss natural biogeography and …

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A Circuit Model For Esd Performance Analysis Of Printed Circuit Boards, Byong-Su Seol, Jong-Sung Lee, Jae-Deok Lim, Hyungseok Lee, Harkbyeong Park, Argha Nandy, David Pommerenke Dec 2008

A Circuit Model For Esd Performance Analysis Of Printed Circuit Boards, Byong-Su Seol, Jong-Sung Lee, Jae-Deok Lim, Hyungseok Lee, Harkbyeong Park, Argha Nandy, David Pommerenke

Electrical and Computer Engineering Faculty Research & Creative Works

This paper provides a SPICE-compatible circuit model for characterizing electrostatic discharge (ESD) clamping performance of protection devices mounted on printed circuit boards (PCBs). An equivalent circuit model for a commercial ESD generator is introduced and a simulation methodology of an ESD protection device with non-linear resistance characteristic using voltage controlled current source is described. These models combined to create a full circuit model with a PCB model in a SPICE-like circuit simulator. Comparison results between the simulated and measured are presented to verify the accuracy of the proposed circuit model. A trade-off analysis between the ESD clamping performance and signal …

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Decentralized Perimeter Surveillance Using A Team Of Uavs, Randal Beard, David Casbeer, Derek Kingston Dec 2008

Decentralized Perimeter Surveillance Using A Team Of Uavs, Randal Beard, David Casbeer, Derek Kingston

Faculty Publications

Sponsorship: NASA, AFOSR. This paper develops a distributed algorithm to maintain a current estimate of the state of the perimeter using a team of UAVs. Using notions of consensus, an algorithm is developed and shown to distribute a UAV team uniformly around the perimeter.

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Neural-Network-Based State Feedback Control Of A Nonlinear Discrete-Time System In Nonstrict Feedback Form, Pingan He, Jagannathan Sarangapani Dec 2008

Neural-Network-Based State Feedback Control Of A Nonlinear Discrete-Time System In Nonstrict Feedback Form, Pingan He, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a suite of adaptive neural network (NN) controllers is designed to deliver a desired tracking performance for the control of an unknown, second-order, nonlinear discrete-time system expressed in nonstrict feedback form. In the first approach, two feedforward NNs are employed in the controller with tracking error as the feedback variable whereas in the adaptive critic NN architecture, three feedforward NNs are used. In the adaptive critic architecture, two action NNs produce virtual and actual control inputs, respectively, whereas the third critic NN approximates certain strategic utility function and its output is employed for tuning action NN weights …

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Fully Evolvable Optimal Neurofuzzy Controller Using Adaptive Critic Designs, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley Dec 2008

Fully Evolvable Optimal Neurofuzzy Controller Using Adaptive Critic Designs, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley

Electrical and Computer Engineering Faculty Research & Creative Works

A near-optimal neurofuzzy external controller is designed in this paper for a static compensator (STATCOM) in a multimachine power system. The controller provides an auxiliary reference signal for the STATCOM in such a way that it improves the damping of the rotor speed deviations of its neighboring generators. A zero-order Takagi-Sugeno fuzzy rule base constitutes the core of the controller. A heuristic dynamic programming (HDP) based approach is used to further train the controller and enable it to provide nonlinear near-optimal control at different operating conditions of the power system. Based on the connectionist systems theory, the parameters of the …

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A Model Based Fault Detection And Prognostic Scheme For Uncertain Nonlinear Discrete-Time Systems, Balaje T. Thumati, Jagannathan Sarangapani Dec 2008

A Model Based Fault Detection And Prognostic Scheme For Uncertain Nonlinear Discrete-Time Systems, Balaje T. Thumati, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

A new fault detection and prognostics (FDP) framework is introduced for uncertain nonlinear discrete time system by using a discrete-time nonlinear estimator which consists of an online approximator. A fault is detected by monitoring the deviation of the system output with that of the estimator output. Prior to the occurrence of the fault, this online approximator learns the system uncertainty. In the event of a fault, the online approximator learns both the system uncertainty and the fault dynamics. A stable parameter update law in discrete-time is developed to tune the parameters of the online approximator. This update law is also …

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Nano-Raman Spectroscopy And Surface Nanostructuring Using Near-Field Optics, Kaijun Yi Dec 2008

Nano-Raman Spectroscopy And Surface Nanostructuring Using Near-Field Optics, Kaijun Yi

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

To satisfy the development of nanoscience and nanotechnology, techniques to characterize and fabricate nanostructures and nanodevices are in great demand. Laser, as a unique monochromatic and coherent light source, meets the needs because it exhibits the potential to reveal some vital information of the materials. However, the applications of laser technology to nanoscience and nanotechnology are facing a severe challenge: the spatial resolution cannot be further enhanced to achieve nanometer scales due to the optical diffraction limit associated with conventional optics. In response to this challenge, near-field optics has been emerging as a new scientific area to deal with optical …

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Fpga Acceleration Of Mean Variance Framework For Optimal Asset Allocation, Ali Irturk, Bridget Benson, Nikolay Laptev, Ryan Kastner Nov 2008

Fpga Acceleration Of Mean Variance Framework For Optimal Asset Allocation, Ali Irturk, Bridget Benson, Nikolay Laptev, Ryan Kastner

Electrical Engineering

Asset classes respond differently to shifts in financial markets, thus an investor can minimize the risk of loss and maximize return of his portfolio by diversification of assets. Increasing the number of diversified assets in a financial portfolio significantly improves the optimal allocation of different assets giving better investment opportunities. However, a large number of assets require a significant amount of computation that only high performance computing can currently provide. Because of the highly parallel nature of Markowitzpsila mean variance framework (the most popular approximation approach for optimal asset allocation) an FPGA implementation of the framework can also provide the …

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Generation Of High Speed, Linear Wavelength Sweeps Using Sampled Grating Distributed Bragg Reflector Lasers, Shane O' Connor, Michael A. Bernacil, Dennis Derickson Nov 2008

Generation Of High Speed, Linear Wavelength Sweeps Using Sampled Grating Distributed Bragg Reflector Lasers, Shane O' Connor, Michael A. Bernacil, Dennis Derickson

Electrical Engineering

Wavelength-tunable sampled grating distributed Bragg reflector (SG-DBR) lasers are used for telecommunications applications in which the laser is set to a communication channel and changed infrequently. SG-DBR lasers can be tuned to any wavelength over a 50 nm tuning range with fast transition times using a set of three control currents. This paper demonstrates generation of fast linear wavelength ramps covering the entire tuning range of the laser. Continuous and linear wavelength sweeps are achieved by applying three time synchronized waveforms to the front mirror, back mirror, and phase sections of the laser. Continuous wavelength coverage is achieved by appending …

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The Peer-Reviewing Game, Marius C. Silaghi, Makoto Yokoo Nov 2008

The Peer-Reviewing Game, Marius C. Silaghi, Makoto Yokoo

Electrical Engineering and Computer Science Faculty Publications

We model a family of peer-reviewing processes as game-theoretic problems. The model helps to understand elements of existing peer-reviewing procedures, and to predict the impact of new mechanisms. The peer-reviewing for evaluation of scientific results submitted to conferences involves complex decision processes of independent participants. Significant tax-payer money is spent by governments for the advancement of science, and such governmental decisions are often based on outcomes of peer-reviewing in scientific conferences. Here we propose to analyze and design improved mechanisms for conference peer-reviewing, based on game-theoretic approaches. Real world conference peer-reviewing processes are overly complex and here we define and …

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Intelligent Scheduling Of Hybrid And Electric Vehicle Storage Capacity In A Parking Lot For Profit Maximization In Grid Power Transactions, Chris Huston, Ganesh K. Venayagamoorthy, Keith Corzine Nov 2008

Intelligent Scheduling Of Hybrid And Electric Vehicle Storage Capacity In A Parking Lot For Profit Maximization In Grid Power Transactions, Chris Huston, Ganesh K. Venayagamoorthy, Keith Corzine

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes an intelligent method for scheduling usage of available energy storage capacity from plugin hybrid electric vehicles (PHEV) and electric vehicles (EV). The batteries on these vehicles can either provide power to the grid when parked, known as vehicle- to-grid (V2G) concept or take power from the grid to charge the batteries on the vehicles. A scalable parking lot model is developed with different parameters assigned to fleets of vehicles. The size of the parking lot is assumed to be large enough to accommodate the number of vehicles performing grid transactions. In order to figure out the appropriate …

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Correlation Between Eut Failure Levels And Esd Generator Parameters, Jayong Koo, Qing Cai, Kai Wang, J. Maas, T. Takahashi, Andrew Martwick, David Pommerenke Nov 2008

Correlation Between Eut Failure Levels And Esd Generator Parameters, Jayong Koo, Qing Cai, Kai Wang, J. Maas, T. Takahashi, Andrew Martwick, David Pommerenke

Electrical and Computer Engineering Faculty Research & Creative Works

Some system-level electrostatic discharge (ESD) tests repeat badly if different ESD generators are used. For improving repeatability, ESD generator specifications have been changed, and modified generators have been compared in a worldwide round robin test. The test showed up to 1 : 3 variations of failure levels. Multiple parameters that characterize ESD generators have been measured. This paper correlates the parameters to test result variations trying to distinguish between important and nonrelevant parameters. The transient fields show large variations among different ESD generators. A correlation has been observed in many equipment under tests (EUTs) between failure levels and the spectral …

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A Variable-Order Flom Algorithm For Heavy-Tailed Clutter Suppression, Y. Rosa Zheng Nov 2008

A Variable-Order Flom Algorithm For Heavy-Tailed Clutter Suppression, Y. Rosa Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

The normalized fractionally-lower order moment (FLOM) algorithm exhibits fast convergence but high excess mean squared error (MSE) when the order is less than 2. This paper proposes a method using variable order moments to adaptively changing the order during adaptation, thus achieving both fast initial convergence and low excess MSE in the steady state. The algorithm is applied to both Gaussian and heavy-tailed non-Gaussian clutter suppression in phased array applications. The results show better performances of the proposed algorithm over the normalized FLOM and normalized Least Mean Square (NLMS) algorithms. The proposed algorithm also performs well in other adaptive filtering …

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