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In this paper, we describe a 2-D wideband microwave imaging system intended for biomedical imaging. The system is capable of collecting data from 3 to 6 GHz, with 24 coresident antenna elements connected to a vector network analyzer via a 2 x 24 port matrix switch. As one of the major sources of error in the data collection process is a result of the(More)
Although Krylov subspace methods provide fast regularization techniques for the microwave imaging problem, they cannot preserve the edges of the object being imaged and may result in an oscillatory reconstruction. To suppress these spurious oscillations and to provide an edge-preserving regularization, we use a multiplicative regularizer which improves the(More)
The multiplicatively regularized Gauss-Newton inversion (GNI) algorithm is enhanced and utilized to obtain complex permittivity profiles of biological objects-of-interest. The microwave scattering data is acquired using a microwave tomography system comprised of 24 co-resident antennas immersed into a saltwater matching fluid. Two types of biological(More)
This paper describes a prototype and analytical studies of a tri-wheel spiral mobile robot. The robot can reach any desired point with a sequence of rotational movements. The robot has a simple actuation mechanism, consisting of three wheels mounted on a platform with axes fixed in 120 • and a motor connected to each. Our approach introduces several new(More)
Global warming is changing the snow-covered sea ice in the Artic [1]. It is important to observe this profile and retrieve some of its parameters of interest (e.g., temperature) as inputs to various climate models. One method to achieve this goal is through inversion of data collected through microwave remote sensing of the profile [2]. Likewise, our(More)
—A nonlinear electromagnetic inverse scattering algorithm is presented to reconstruct snow-covered sea-ice dielectric profiles using multiple-frequency multipolarimetric normalized radar cross-sectional data. This inversion algorithm utilizes a global optimization technique in conjunction with the boundary-perturbation-theory electromagnetic forward solver(More)
The use of near-field measurement techniques for antenna measurements and characterization will be studied. The focus of the course will be on data collection procedures, data processing algorithms, system implementation, and error analysis associated with the planar, cylindrical, and spherical near-field microwave antenna measurement techniques. The(More)
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