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Design of a 3D Microwave Imaging System

Design of a 3D Microwave Imaging System. Drew Jaworski Advisor: Dr. Yong Zhou Fall 2011 – Senior Design I. Why Microwave Imaging?. Electromagnetic Imaging Systems Vision Nature doesn’t always know best! X-Ray Ionizing radiation Infrared (“thermal”) Limited to surfaces

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Design of a 3D Microwave Imaging System

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  1. Design of a 3D Microwave Imaging System Drew Jaworski Advisor: Dr. Yong Zhou Fall 2011 – Senior Design I

  2. Why Microwave Imaging? • Electromagnetic Imaging Systems • Vision • Nature doesn’t always know best! • X-Ray • Ionizing radiation • Infrared (“thermal”) • Limited to surfaces • MRI (quantum mechanics) • Expensive • Microwave • Non-ionizing, penetrating, less expensive! • Applications • Medical imaging (cancerous tumors, etc) • Industrial scanning (forging defects, etc)

  3. Project Specifications • Design of a 3-dimensional microwave imaging system • Vector network analyzer signal analysis • Automated data acquirement and processing • Biomedical focus, but adaptable for other imaging applications • Multiplexed antenna array

  4. Project Constraints • Size • Entire system less than 1[m]*1[m]*1[m] • Budget • $300 from department + personal funds • FCC Regulations • Medical device band: 3.1[GHz]–10.6 [GHz] • Many others related to trying to manage the above constraints

  5. Electromagnetic Overview • Plane-wave approximation • Imaging subject located in far-field of antenna array, perpendicular to propagation of waves • Simplifies analysis at expense of system size • Scattering through media • A result of multiple layers of diffraction and refraction, in the case of the complex human body. Images courtesy of: http://en.wikipedia.org/wiki/File:Linear.Polarization.Linearly.Polarized.Light_plane.wave.svg http://commons.wikimedia.org/wiki/File:Huygens_brechung.png

  6. Vector Network Analyzer • Measures a Two Port Network • Returns S-Parameters (Scattering Parameters) • S11 – Return Loss • S21 – Insertion Loss • Parallel antennas connected to VNA ports • Calibrate response • Place object between antennas • Result is how the object affected the electromagnetic radiation between the two antennas • Results can be manipulated with software algorithms to give dielectric properties of the object!

  7. Inverse Scattering Solution • Repeat with multiple antennas (4x4 array, in this case) • Rotate object between antenna arrays • Result is a set of matrixes of scattering parameters for a 32-port network (for a range of frequencies!) • Can be manipulated to produce a discretized graphical representation of the dielectric properties in different regions between antenna arrays • Inverse Scattering Problem – Microwave Tomography • We know the forward transmitted radiation (aka Incident Fields) • We have information about the received fields (aka Scattered Fields) • Now we want to know what made them change! • Very complex calculations that are demanding of computing resources • Fortunately, much research has been published that has mathematically and/or computationally simplified the solution process (relatively)

  8. Automated Data Analysis • Labview • Automate collection of data • Several colleagues have worked out the details • Rotation mechanism – Juan Nava, Miguel Rivera • TTL communication (for multiplexer) – Julio Vasquez • Matlab • Process data • Numerous published algorithms can be implemented and tested

  9. Frequency Selection • Often limited by hardware technology (switch/antenna bandwidth) • Biomedical focus – human tissues • Estimates vary, best to come up with your own and justify accordingly • Begin with what spectrum is available • FCC • “Medical Systems: These devices must be operated in the frequency band 3.1-10.6 GHz. A medical imaging system may be used for a variety of health applications to “see” inside the body of a person or animal. Operation must be at the direction of, or under the supervision of, a licensed health care practitioner.” • http://transition.fcc.gov/Bureaus/Engineering_Technology/Orders/2002/fcc02048.pdf • Begin with properties of human body • Database of dielectric properties of numerous types of tissue available from Italian National Research Council site: • http://niremf.ifac.cnr.it/tissprop/

  10. Dielectric Properties Database • Skin (wet and Dry), Muscle, Fat, and Bone • Major constituents most body parts Highest λ Highest alpha Lowest λ Lowest alpha intersection intersection

  11. Antenna Array Multiplexer • Julio Vasquez’s RF multiplexer design intended for this project • Overlapping semesters meant his prototype was not yet completed and could not be used immediately • Microstrip antenna array with integrated multiplexer switch hierarchy • Avoids requirement of numerous expensive and tangled SMA patch cables • Integrates network of SPDT switches into antenna array • 4x4 microstrip antenna array • 1 SMA connector (patched to VNA) • 15 SPDT RF switches (operating up to 8[GHz]) • 16 microstrip patch antennas • 8 TTL-level (5V) control lines

  12. Antenna Array with Multiplexer

  13. RF Layout Guidelines • Line Widths • 3.08[mm] • 50Ω impedance • Curves • Ideally smooth curves • radius >= 3*lineWidth • Ground fills • Not completely necessary • Relatively noise-free environment • Noise reducing padding around experiment setup • Not feasible for hand-produced prototype • Tapered impedance tranformers • Linear (“triangular”) is best for wideband operation (Pozar) • λ/4 ~ λ used in design (as long as could be reasonably fit)

  14. Multiplexer versus Switch Network • Fully featured DC-12[GHz] multiplexer • $700 ~ $1700 • Single SPDT RF switch IC • $1 ~ $3 • M/A-COM technology solutions • MASW-007107 • Pros • Large variety of models available • Distributed by Mouser • Cons • Small package size (GaAs DIE ~ 4[mm]*4[mm]

  15. MASW-007107 Obtained from IC Datasheet: http://www.macomtech.com/DataSheets/MASW-007107.pdf

  16. MASW-007107 (continued)

  17. Switch Network Hierarchy

  18. UWB Microstrip Antenna • Two-port network theory (one-port input network, in this case) • S11 measures “return-loss” [dB] • Lower is better, -10[dB] indicates half of the input power is lost in the network • Return Loss is power radiated from antenna (hopefully) and other losses. • Bandwidth is measured where S11 crosses the -10[dB] point • Design is UWB when (BW / Fcenter) >= 25%

  19. UWB Microstrip Antenna (continued) • There are many published designs for UWB microstrip antennas • Most use complex ground geometries • Usually explain it as something to keep the phase response level across the useable band • After trying several designs, I began modifying the geometries in an attempt to find something new

  20. UWB Microstrip Antenna (continued) • BW = 979[MHz] • Fcenter = 5.595[GHz] • -10[dB] BW => 17.52% (close, but not UWB)

  21. UWB Microstrip Antenna (continued) • Fractal and/or self-symmetry based designs • Intended to induce multiple resonance frequencies Inspired by: Miniaturized UWB Monopole Microstrip Antenna Design by the Combination of Guisepe Peano and Sierpinksi Carpet Fractals, IEEE AWPL, 2011

  22. Budget (proposed) • Double-sided FR-4 boards (2x) • $12.66 + shipping <Parts Express> • MASW007107 RF Switches (50x) • $37.50 + shipping <Mouser Electronics> • Commercially Manufactured PCBs • $150 <Dorkbot PDX PCB group order> • All other supplies already in possession

  23. Gantt Chart – SD1

  24. Gantt Chart – SD2 (proposed)

  25. Future Work • Finalize UWB antenna candidate design • RF Layout of antenna array • Produce a prototype (using materials on hand) • Export Gerber file and have it manufactured commercially • $1 per square inch (min. 150 square inch order) • Develop mathematics of Imaging System • Microwave Imaging (2011), Matteo Pastorino • Begin making microwave images!

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