Statistical Properties of Wave Chaotic Scattering and Impedance Matrices MURI Faculty:Tom Antonsen, Ed Ott, Steve Anlage, MURI Students: Xing Zheng, Sameer.

Slides:



Advertisements
Similar presentations
Chaotic Scattering in Open Microwave Billiards with and without T Violation Porquerolles 2013 Microwave resonator as a model for the compound nucleus.
Advertisements

ENE 428 Microwave Engineering
Chapter 13 Transmission Lines
Lecture 6. Chapter 3 Microwave Network Analysis 3.1 Impedance and Equivalent Voltages and Currents 3.2 Impedance and Admittance Matrices 3.3 The Scattering.
1 Fields and Signals in Coupled Coaxial and Cylindrical Cavities John C. Young Chalmers M. Butler Clemson University.
EKT241 – ELECTROMAGNETICS THEORY
UNIVERSITI MALAYSIA PERLIS
MAXWELL’S EQUATIONS AND TRANSMISSION MEDIA CHARACTERISTICS
Chapter 2: Transmission Line Theory
1 Can Waves Be Chaotic? Jen-Hao Yeh, Biniyam Taddese, James Hart, Elliott Bradshaw Edward Ott, Thomas Antonsen, Steven M. Anlage Research funded by AFOSR.
1 Universal Statistical Electromagnetic Properties of Ray-Chaotic Enclosures Steven M. Anlage, Sameer Hemmady, Xing Zheng, James Hart, Elliott Bradshaw,
Ch3: Lightwave Fundamentals E = E o sin( wt-kz ) E = E o sin( wt-kz ) k: propagation factor = w/v k: propagation factor = w/v wt-kz : phase wt-kz : phase.
July, 2003© 2003 by H.L. Bertoni1 I. Introduction to Wave Propagation Waves on transmission lines Plane waves in one dimension Reflection and transmission.
Statistical Properties of Wave Chaotic Scattering and Impedance Matrices Collaborators: Xing Zheng, Ed Ott, ExperimentsSameer Hemmady, Steve Anlage, Supported.
1 Overview of the Random Coupling Model Jen-Hao Yeh, Sameer Hemmady, Xing Zheng, James Hart, Edward Ott, Thomas Antonsen, Steven M. Anlage Research funded.
Statistical Properties of Wave Chaotic Scattering and Impedance Matrices Collaborators: Xing Zheng, Ed Ott ExperimentsSameer Hemmady, Steve Anlage Supported.
1 On the MIMO Channel Capacity Predicted by Kronecker and Müller Models Müge KARAMAN ÇOLAKOĞLU Prof. Dr. Mehmet ŞAFAK COST 289 4th Workshop, Gothenburg,
EKT 441 MICROWAVE COMMUNICATIONS
EEE440 Modern Communication Systems Wireless and Mobile Communications.
9. Radiation & Antennas Applied EM by Ulaby, Michielssen and Ravaioli.
Microwave Engineering, 3rd Edition by David M. Pozar
Coupling of Electromagnetic Fields to Circuits in a Cavity
1 Basics of Microwave Measurements Steven Anlage
1 ENE 429 Antenna and Transmission lines Theory Lecture 4 Transmission lines.
Chapter-23 Alternating Current Circuits. Alternating Signal The rms amplitude is the DC voltage which will deliver the same average power as the AC signal.
ECE 546 – Jose Schutt-Aine 1 ECE 546 Lecture -04 Transmission Lines Spring 2014 Jose E. Schutt-Aine Electrical & Computer Engineering University of Illinois.
OBJECTIVES To become familiar with propagation of signals through lines Understand signal propagation at Radio frequencies Understand radio propagation.
Lecture 6.
Efficient design of a C-band aperture-coupled stacked microstrip array using Nexxim and Designer Alberto Di Maria German Aerospace Centre (DLR) – Microwaves.
1 ECE 480 Wireless Systems Lecture 3 Propagation and Modulation of RF Waves.
Chapter 4. Microwave Network Analysis
Fundamental Antenna Parameters
Transmission Line “Definition” General transmission line: a closed system in which power is transmitted from a source to a destination Our class: only.
Prof. David R. Jackson Dept. of ECE Fall 2013 Notes 12 ECE 6340 Intermediate EM Waves 1.
12 Transmission Lines.
TELECOMMUNICATIONS Dr. Hugh Blanton ENTC 4307/ENTC 5307.
Microwave Network Analysis
1 RS ENE 428 Microwave Engineering Lecture 4 Reflection and Transmission at Oblique Incidence, Transmission Lines.
Doc.: IEEE /0553r1 Submission May 2009 Alexander Maltsev, Intel Corp.Slide 1 Path Loss Model Development for TGad Channel Models Date:
Yi HUANG Department of Electrical Engineering & Electronics
1.  Transmission lines or T-lines are used to guide propagation of EM waves at high frequencies.  Examples: › Transmitter and antenna › Connections.
University of Maryland, College Park
Lecture 5.
ENE 428 Microwave Engineering
1 ENE 428 Microwave Engineering Lecture 11 Excitation of Waveguides and Microwave Resonator.
ONR 1 A Wave Chaos Approach to Understanding and Mitigating Directed Energy Effects Steven Anlage, Thomas Antonsen, Edward Ott.
Spectral and Wavefunction Statistics (I) V.E.Kravtsov, Abdus Salam ICTP.
EKT 441 MICROWAVE COMMUNICATIONS CHAPTER 3: MICROWAVE NETWORK ANALYSIS (PART II)
Review of lecture 5 and 6 Quantum phase space distributions: Wigner distribution and Hussimi distribution. Eigenvalue statistics: Poisson and Wigner level.
Introduction to Coherence Spectroscopy Lecture 1 Coherence: “A term that's applied to electromagnetic waves. When they "wiggle" up and down together they.
FINESSE FINESSE Frequency Domain Interferometer Simulation Andreas Freise European Gravitational Observatory 17. March 2004.
Shuichi Noguch, KEK 6-th ILC School, November RF Basics; Contents  Maxwell’s Equation  Plane Wave  Boundary Condition  Cavity & RF Parameters.
Hanyang University 1/21 Antennas & RF Devices Lab. antenna arrays and automotive applications Kim Tae Won.
ENE 429 Antenna and Transmission lines Theory Lecture 7 Waveguides DATE: 3-5/09/07.
Investigation of Wigner reaction matrix, cross- and velocity correlators for microwave networks M. Ławniczak, S. Bauch, O. Hul, A. Borkowska and L. Sirko.
ELEC 401 MICROWAVE ELECTRONICS Microwave Networks - Parameters
Chapter 10. Transmission lines
Microwave Engineering by David M. Pozar Ch. 4.1 ~ 4 / 4.6
Radio Coverage Prediction in Picocell Indoor Networks
Notes 12 ECE 6340 Intermediate EM Waves Fall 2016
topics Basic Transmission Line Equations
ENE 428 Microwave Engineering
ENE 429 Antenna and Transmission lines Theory
ENE 429 Antenna and Transmission lines Theory
Update on “Channel Models for 60 GHz WLAN Systems” Document
Applied Electromagnetic Waves Notes 6 Transmission Lines (Time Domain)
ENE 428 Microwave Engineering
ENE 428 Microwave Engineering
4th Week Seminar Sunryul Kim Antennas & RF Devices Lab.
Presentation transcript:

Statistical Properties of Wave Chaotic Scattering and Impedance Matrices MURI Faculty:Tom Antonsen, Ed Ott, Steve Anlage, MURI Students: Xing Zheng, Sameer Hemmady, James Hart AFOSR-MURI Program Review

Electromagnetic Coupling in Computer Circuits connectors cables circuit boards Integrated circuits Schematic Coupling of external radiation to computer circuits is a complex processes: apertures resonant cavities transmission lines circuit elements Intermediate frequency range involves many interacting resonances System size >> Wavelength Chaotic Ray Trajectories What can be said about coupling without solving in detail the complicated EM problem ? Statistical Description ! (Statistical Electromagnetics, Holland and St. John)

Z and S-Matrices What is S ij ? outgoing incoming S matrix Complicated function of frequency Details depend sensitively on unknown parameters Z(  ), S(  ) N- Port System N ports voltages and currents, incoming and outgoing waves voltagecurrent Z matrix

Random Coupling Model 3. Eigenvalues k n 2 are distributed according to appropriate statistics: - Eigenvalues of Gaussian Random Matrix Normalized Spacing 2. Replace exact eigenfunction with superpositions of random plane waves Random amplitude Random direction Random phase 1. Formally expand fields in modes of closed cavity: eigenvalues k n =  n /c

Statistical Model of Z Matrix Frequency Domain Port 1 Port 2 Other ports Losses Port 1 Free-space radiation Resistance R R (  ) Z R (  ) = R R (  )+jX R (  ) R R1 (  ) R R2 (  ) Statistical Model Impedance Q -quality factor   n - mean spectral spacing Radiation Resistance R Ri (  ) w in - Gaussian Random variables  n - random spectrum System parameters Statistical parameters

Model Validation Summary Single Port Case: Cavity Impedance:Z cav = R R z + jX R  Radiation Impedance:Z R = R R + jX R Universal normalized random impedance:z  + j  Statistics of z depend only on damping parameter:k 2 /(Q  k 2 ) (Q-width/frequency spacing) Validation: HFSS simulations Experiment (Hemmady and Anlage)

Normalized Cavity Impedance with Losses Port 1 Losses Z cav = jX R +(  +j  R R Theory predictions for Pdf’s of z  =  +j  Distribution of reactance fluctuations P(  ) k2k2 Distribution of resistance fluctuations P(  ) k2k2

Two Dimensional Resonators Anlage Experiments HFSS Simulations Power plane of microcircuit Only transverse magnetic (TM) propagate for f < c/2h EzEz HyHy HxHx h Box with metallic walls ports Voltage on top plate

HFSS - Solutions Bow-Tie Cavity Moveable conducting disk -.6 cm diameter “Proverbial soda can” Curved walls guarantee all ray trajectories are chaotic Losses on top and bottom plates Cavity impedance calculated for 100 locations of disk 4000 frequencies 6.75 GHz to 8.75 GHz

Comparison of HFSS Results and Model for Pdf’s of Normalized Impedance Normalized Reactance Normalized Resistance  Z cav = jX R +(  +j  R R  Theory

EXPERIMENTAL SETUP Sameer Hemmady, Steve Anlage CSR Eigen mode Image at 12.57GHz 8.5” 17” 21.4” 0.310” DEEP Antenna Entry Point SCANNED PERTURBATION Circular ArcR=25” R=42”  2 Dimensional Quarter Bow Tie Wave Chaotic cavity  Classical ray trajectories are chaotic - short wavelength - Quantum Chaos  1-port S and Z measurements in the 6 – 12 GHz range.  Ensemble average through 100 locations of the perturbation 0. 31” 1.05” 1.6” Perturbation

  High Loss Low Loss Intermediate Loss Comparison of Experimental Results and Model for Pdf’s of Normalized Impedance Theory

Normalized Scattering Amplitude Theory and HFSS Simulation Theory predicts: Uniform distribution in phase Actual Cavity Impedance:Z cav = R R z + jX R Normalized impedance : z  + j  Universal normalized scattering coefficient:s = (z  )/(z  ) = | s| exp[ i  ] Statistics of s depend only on damping parameter:k 2 /(Q  k 2 )

Experimental Distribution of Normalized Scattering Coefficient        a)   s=|s|exp[i  ] Theory |s|2|s|2 ln [P(|s| 2 )] Distribution of Reflection Coefficient Distribution independent of 

Frequency Correlations in Normalized Impedance Theory and HFSS Simulations Z cav = jX R +(  +j  R R RR = XX = RX = (f 1 -f 2 )

Properties of Lossless Two-Port Impedance (Monte Carlo Simulation of Theory Model) Eigenvalues of Z matrix Individually  1,2 are Lorenzian distributed 11 22 Distributions same as In Random Matrix theory

HFSS Solution for Lossless 2-Port 22 11 Joint Pdf for  1 and  2 Port #1: Port #2: Disc

Comparison of Distributed Loss and Lossless Cavity with Ports (Monte Carlo Simulation) Distribution of reactance fluctuations P(  ) Distribution of resistance fluctuations P(  )  Z cav = jX R +(  +j  R R

Time Domain w n - Gaussian Random variables Time Domain Model for Impedance Matrix Frequency Domain Statistical Parameters w n - Gaussian Random variables  n - random spectrum

Incident and Reflected Pulses for One Realization Incident Pulse Prompt Reflection Delayed Reflection Prompt reflection removed by matching Z 0 to Z R f = 3.6 GHz  = 6 nsec

Decay of Moments Averaged Over 1000 Realizations 1/2 | | 1/3 Linear Scale Log Scale Prompt reflection eliminated

Quasi-Stationary Process t 1 = 1.0  t 1 = 8.0  t 1 = 5.0  Normalized Voltage u(t)=V(t) / 1/2 2-time Correlation Function (Matches initial pulse shape)

Incident Pulse Histogram of Maximum Voltage 1000 realizations Mean =.3163 |V inc (t)| max = 1V

Progress Direct comparison of random coupling model with -random matrix theory  -HFSS solutions  -Experiment  Exploration of increasing number of coupling ports  Study losses in HFSS  Time Domain analysis of Pulsed Signals -Pulse duration -Shape (chirp?) Generalize to systems consisting of circuits and fields Current Future

Role of Scars? Eigenfunctions that do not satisfy random plane wave assumption Bow-Tie with diamond scar Scars are not treated by either random matrix or chaotic eigenfunction theory Semi-classical methods

Future Directions Can be addressed -theoretically -numerically -experimentally Features: Ray splitting Losses HFSS simulation courtesy J. Rodgers Additional complications to be added later