Effects of High Power Microwaves and

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Effects of High Power Microwaves and MURI 01 www.ireap.umd.edu/MURI-2001 Effects of High Power Microwaves and Chaos in 21st Century Electronics*: Highlights of Research Accomplishments Presented to Col. Schwarze Directed Energy Task Force January 17, 2007, The Pentagon *Administered by: AFOSR (G. Witt, R. Umstattd, R. Barker) & AFRL (M. Harrison and J. Gaudet)

MURI 01 Four Interrelated Parts of the Study Coordinating principal investigator, V. Granatstein A Statistical prediction of microwave coupling to electronics inside enclosures ( T. Antonsen, E. Ott, S. Anlage) • B Nonlinear effects and chaos in electronic circuits (S. Anlage, T. Antonsen, E. Ott, J. Rodgers) C Electronics vulnerabilities (upset and damage) (J. Rodgers, N. Goldsman, A. Iliadis, & Boise State Univ.) D Microwave detection and mitigation (B. Jacob, J. Melngailis, O. Ramahi)

Steven M. Anlage, Vassili Demergis, Understanding HPM Effects from the Perspective of Nonlinear Dynamics and Chaos Steven M. Anlage, Vassili Demergis, Renato Moraes, Edward Ott, Thomas Antonsen Thanks to Alexander Glasser, Marshal Miller, John Rodgers, Todd Firestone Research funded by the AFOSR-MURI and DURIP programs

HPM Effects on Electronics What role does Nonlinearity and Chaos play in producing HPM effects?

OVERVIEW HPM Effects on Electronics Are there systematic and reproducible effects? Can we predict effects with confidence? Evidence of HPM Effects is mainly empirical: Anecdotal stories of rf weapons and their effectiveness Collected data on HPM testing is statistical in nature Difficulty in predicting effects given complicated coupling, interior geometries, varying damage levels, etc. Why confuse things further by adding nonlinearity and chaos? A systematic framework in which to conceptualize, quantify and classify HPM effects Provides a quantitative foundation for developing the science of HPM effects New opportunities for circuit upset/failure

The p/n Junction The p/n junction is a ubiquitous feature in electronics: Electrostatic-discharge (ESD) protection diodes Transistors Nonlinearities: Voltage-dependent Capacitance Conductance (Current-Voltage characteristic) Reverse Recovery (delayed feedback) tRR is a nonlinear function of bias, duty cycle, frequency, etc. HPM input can induce Chaos through several mechanisms Renato Mariz de Moraes and Steven M. Anlage, "Unified Model, and Novel Reverse Recovery Nonlinearities, of the Driven Diode Resonator," Phys. Rev. E 68, 026201 (2003). Renato Mariz de Moraes and Steven M. Anlage, "Effects of RF Stimulus and Negative Feedback on Nonlinear Circuits," IEEE Trans. Circuits Systems I: Regular Papers, 51, 748 (2004).

p/n Junctions in Real Circuits RLD-TIA Trans-Impedance Amplifier VLF + VHF VDC wLF wHF 2-tone injection experiments: frequency w0 (similar to Vavriv) ~ GHz ~ MHz increasing PHF In general … To understand the p/n junction embedded in more complicated circuits: Nonlinear capacitance Rectification Nonlinearities of tRR All play a role!

Electrostatic Discharge (ESD) Protection Circuits A Generic Opportunity to Induce Instability at High Frequencies ESD Protection Circuit to be protected Delay T Schematic of modern integrated circuit interconnect The “Achilles Heel” of modern electronics

Chaos in the Driven Diode Distributed Circuit mismatch Rg Vref Vinc Vg(t) + V(t) - Transmission Line Z0 delay T Delayed Feedback Time-Scale! A simple model of p/n junctions in computers Delay differential equations for the diode voltage Solve numerically Measure experimentally

Chaos in the Driven Diode Distributed Circuit Simulation results Vg = .5 V Period 1 V(t) (Volts) Time (s) Vg = 2.25 V Period 2 V(t) (Volts) Time (s) Vg = 3.5 V Period 4 V(t) (Volts) Time (s) Vg = 5.25 V Chaos V(t) (Volts) f = 700 MHz T = 87.5 ps Rg = 1 W Z0 = 70 W PLC, Cr = Cf/1000 Time (s)

Experimental Bifurcation Diagram BAT41 Diode @ 85 MHz T ~ 3.9 ns, Bent-Pipe Experimental Results Chaos Period 16 Period 8 Period 1 Period 4 Period 2 Driving Power (dBm)

Conclusions and Further Research Nonlinearity and chaos have emerged as organizing principles for understanding HPM effects in circuits What can you count on? → p/n junction nonlinearity Lumped → NL resonance Distributed → delayed feedback ESD protection circuits are ubiquitous and vulnerable Effects of chaotic driving signals on nonlinear circuits (challenge – circuits are inside systems with a frequency-dependent transfer function) Unify our circuit chaos and wave chaos research Uncover the “magic bullet” driving waveform that causes maximum disruption to electronics Theory: A. Hübler, PRE (1995); S. M. Booker (2000) Aperiodic time-reversed optimal forcing function

Conclusions The p/n junction offers many opportunities for HPM upset effects Instability in ESD protection circuits (John Rodgers) Distributed trans. line / diode circuit → GHz-scale chaos GHz chaos paper: http://arxiv.org/abs/nlin.cd/0605037

Summary of Results Highest Frequency Chaos @ 1.1 GHz trr (ns) Diode Cj0 (pf) Experiment Delay Time T (ns) Result Min. Pow. to PD ~ƒ Range for Result 1N4148 4® 0.7 Part. Reflecting 8.6, 17.3 PD ~20 dBm 0.4–1.0 GHz periodically Bent-Pipe 3.0, 3.5, 3.9, 4.1, 4.4, 5.5, 7.0 PD, Chaos* ~14 dBm 0.2–1.2 GHz BAT86 11.5 ~ 35 dBm Per 1 only --- 20-800 MHz BAT41 5® 4.6 0.4-1.0 GHz 3.9 PD, Chaos ~ 25 dBm 43 MHz ~ 17 dBm 85 MHz 3.0, 3.5, 4.1, 4.4, 5.5, 7.0 NTE519 1.1 ~25 dBm ~16 dBm 0.5-1.2 GHz NTE588 35 116 0.02 - 1.2 GHz MV209 30 66.6 5082-2835 <15 5082-3081 100 2.0 Highest Frequency Chaos @ 1.1 GHz *With dc bias.

Overview/Motivation “The Promise of Chaos” Can Chaotic oscillations be induced in electronic circuits through cleverly-selected HPM input? Can susceptibility to Chaos lead to degradation of system performance? Can Chaos lead to failure of components or circuits at extremely low HPM power levels? Is Chaotic instability a generic property of modern circuitry, or is it very specific to certain types of circuits and stimuli? These questions are difficult to answer conclusively…

Chaos in Nonlinear Circuits Many nonlinear circuits show chaos: Driven Resistor-Inductor-Diode series circuit Chua’s circuit Coupled nonlinear oscillators Circuits with saturable inductors Chaotic relaxation circuits Newcomb circuit Rössler circuit Phase-locked loops … Synchronized chaotic oscillators and chaotic communication Here we concentrate on the most common nonlinear circuit element that can give rise to chaos due to external stimulus: the p/n junction

Chaos in the Driven Diode Distributed Circuit Strobe Points (Volts) Chaos in the Driven Diode Distributed Circuit Simulation results Period 1 Period 2 f = 700 MHz T = 87.5 ps Rg = 1 W Z0 = 70 W PLC, Cr = Cf/1000 Period 4 Chaos Vg (Volts) http://arxiv.org/abs/nlin.cd/0605037

Experiment on the Driven Diode Distributed Circuit Transmission Line (Z0) Circulator Directional Coupler Amplifier 1 2 Diode 3 L Signal Generator 50Ω Load Oscilloscope Spectrum Analyzer Diode Reverse Recovery Time (ns) BAT 86 4 1N4148 1N5475B 160 1N5400 7000

Chaos and Circuit Disruption What can you count on? Bottom Line on HPM-Induced circuit chaos What can you count on? → p/n junction nonlinearity Time scales! Windows of opportunity – chaos is common but not present for all driving scenarios ESD protection circuits are ubiquitous Manipulation with “nudging” and “optimized” waveforms. Quasiperiodic driving lowers threshold for chaotic onset D. M. Vavriv, Electronics Lett. 30, 462 (1994). Two-tone driving lowers threshold for chaotic onset D. M. Vavriv, IEEE Circuits and Systems I 41, 669 (1994). D. M. Vavriv, IEEE Circuits and Systems I 45, 1255 (1998). J. Nitsch, Adv. Radio Sci. 2, 51 (2004). Noise-induced Chaos: Y.-C. Lai, Phys. Rev. Lett. 90, 164101 (2003). Resonant perturbation waveform Y.-C. Lai, Phys. Rev. Lett. 94, 214101 (2005).

Distributed Transmission Line Diode Chaos at 785 MHz 17 dBm input 19 dBm input NTE519 785 MHz T ~ 3.5 ns DC Bias=6.5 Volts 21 dBm input http://arxiv.org/abs/nlin.cd/0605037

Chaos Classical: Extreme sensitivity to initial conditions The Logistic Map: Double Pendulum later Manifestations of classical chaos: Chaotic oscillations, difficulty in making long-term predictions, sensitivity to noise, etc.