He has a strong experimental and systems engineering background and is an inventor on over 30 U.S. patents including several in the area of uplink adaptive arraying and high-fidelity hearing restoration. NASA administrator Charlie Bolden presented him with the NASA Headquarters Exceptional Engineering Achievement Medal in 2010 for the first operationally feasible widely-spaced (in wavelengths) uplink arraying with real-time tropospheric mitigation. A list of patents can be found here.
At his previous company, Dr. Martin received Engineering Achievement Awards five times in recognition of his contributions and held Corporate Fellow status, an honor only given to one of 14,000 individuals per year.
Besides his most recent work in the area of uplink arraying, for most of his career Dr. Martin has specialized in the creation of adaptive array algorithms and antenna array concepts which enable optimized reception of signals in the presence of co-channel interference and precision estimation of angle of arrival and/or geolocation of these signals. The most important of these algorithms, both open and closed loop types, require no a priori knowledge for signal sorting and optimal reception. Subsequent Angle of Arrival estimation is unbiased at any signal to noise plus interference ratio (SNIR), highly robust with respect to calibration errors, and capable of very high precision.
She has received recognition for her hi-fidelity simulation to prototype software. She architected, designed and developed a 4D array modeling and simulation suite at her former place of employment. It was awarded a division Excellence and Corporate Award and highlighted in AGI news. Specialized Arrays is currently building the next-generation 4D modeling and simulation suite which will be used to model, simulate, and test new algorithms and concepts such as moving platform transmit arraying, wireless precision time transfer, and multi-sensor underwater multi-sensor data processing.
Ms. Minear is an applied mathematician and senior research scientist with expertise and accomplishments in both advanced signal and image processing system solutions. NASA administrator Charlie Bolden presented her with the NASA Headquarters Exceptional Engineering Achievement Medal in 2010 for the first operationally feasible widely-spaced (in wavelengths) uplink arraying with real-time tropospheric mitigation. A list of patents can be found here.
Education: Applied Mathematics MS and BS Florida Institute of Technology
Pat Martin is a physicist and mathematician with significant expertise in advanced blind signal processing, adaptive array system design, phase transfer over long distances, and very high precision signal angle of arrival.
The principals have decades of experience putting together high performance engineering teams made up of mathematicians, physicists, engineers: electrical, software, optical, mechanical, and RF, technicians, and project leaders. The Space Coast area is rich in the expertise required to design, implement, and troubleshoot complex, innovative systems to meet our customers needs.
Specialized Arrays Inc. 700 Wavecrest Ave Unit 103, Indialantic, FL 32903
Dr. Martin's graduate work at the University of Texas, Austin, focused on wave propagation in plasma. His dissertation was entitled "Relativistically Interstreaming Bounded Plasma Interactions
Dr. Martin also has invented methods for passive electromagnetic 3-D Raleigh‑limit imaging using ambient signal sources. He has designed very wideband frequency domain adaptive array systems which can perform signal compensation, signal sorting and precision AOA in the presence of severe dispersion and amplifier nonlinearities, including algorithms for general adaptive arraying of very widely spaced moving elements with differential Doppler shifts.
Other work includes devising an adaptive phased array antenna capable of hemispherical scan with constant gain over multiple octaves of frequency, wideband coherent fragmented spectrum signal concepts and a sidelobe canceller for reflector antennas based on a feed array instead of the customary rim mounted auxiliary elements. Some of these systems incorporate his weight-perturbational ideas which enable realization with a single system receiver and in very low size, weight and power contexts. Most of these concepts have been realized in hardware and all have been successfully demonstrated and/or are operational. He also introduced the idea of Model Based Calibration for antenna arrays, which applies precise electromagnetic modeling to significantly increase AOA precision while reducing measurement requirements by orders of magnitude.
Other projects and areas of research include speech recognition using neural nets, system error propagation, image pattern recognition, novel data correlators, wavelets, optimization, neural networks, Bayesian recognition, precision targeting, and video tracking.
Education: Electrical Engineering Ph.D., MS, and BS University of Texas, Austin
In early work, he established multi-function, shared aperture concepts which were explored by AFWAL in the early 1980's and which are now widely applied. During this effort, on the Adaptive Multifunction Antenna program, he served as Chief Engineer and System Architect. Before that, he designed retrodirective and conventional self-steering arrays, obtained exact mode-matching solutions to discontinuities in waveguides, and designed a low-frequency magnetostatically coupled link.
Her interests in signal processing include widely-spaced, conformal body, and moving platform coherent transmit arraying, signal angle of arrival determination, blind signal sorting, side-lobe ambiguity resolution, and other advanced adaptive signal processing methods. She has developed numerous image and data processing algorithms for a variety of sensors including LIDAR, RADAR, electro-optical, hyper- and multi-spectral, and IR.
Her advanced image processing and remote sensing algorithms include 1) autonomous same and cross-sensor image/data registration (EO-IR, IR-SAR, EO-IR, EO-EO, LIDAR-EO), 2) ground and underwater 3D surface determination using LIDAR data and statistical methods, 3) sensor fusion using radar and electro-optical data revealing hidden information in regions with high cloud content, 4) 3D point cloud and multispectral data fusion, 5) multi-spectral and panchromatic image fusion to create high resolution color images for material classification and imagery for flight simulators, 6) autonomous atmospheric correction for large image mosaics, 7) cloud masking, 8) image band conversions to recover 'missing' spectral information and create out-the-window imagery, 9) topographic corrections for material classification, 10) visualization for point cloud data based on scene content, 11) moving platform video moving object tracking, 12) sub-pixel material classification, and 13) vegetation pixel manipulation using spectral analysis.