Browsing by Subject "Signal processing."
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Item A comparison of field programmable gate arrays and digital signal processors in acoustic array processing.(2006-07-29T16:28:42Z) Stevenson, Jeremy C.; Duren, Russell Walker.; Thompson, Michael Wayne.; Engineering.; Baylor University. Dept. of Electrical and Computer Engineering.The Field Programmable Gate Array's (FPGA) constant growth in computing power has given embedded system developers a choice to replace their current processors with a FPGA. However, most systems continue to use the original processor due to familiarity and design speed. Design tools, such as Simulink for MATLAB, have created a potential for significantly reducing FPGA development time. This potential was explored by developing an acoustic array processing system on both a FPGA and a DSP (Digital Signal Processor). The system includes a filtering stage, a correlation stage, and a trigonometric math stage. All of these stages are computationally intensive which provide an accurate portrayal of the chips' capabilities. The paper documents the comparison of the FPGA and the DSP implementations in regards to the performance of each implementation, the design time of each implementation and the capability of the design tools used in each implementation.Item Robust geolocation techniques for multiple receiver systems.(2011-05-12T15:25:52Z) Fisher, Gregory W.; Thompson, Michael Wayne.; Engineering.; Baylor University. Dept. of Electrical and Computer Engineering.The purpose of this thesis is to investigate signal processing algorithms that allow multiple moving receivers to locate a stationary emitter. This problem has received considerable attention over the past 50 years, yet advances in computational power, sensor technologies and increasingly complex battle space scenarios continue to drive interest in this area. This work focuses on implementing well-known least squares and Kalman based algorithms within a realistic three dimensional simulation model. Techniques for evaluating the performance of various algorithms include generating ellipse-shaped confidence regions that bound the target under consideration, along with generating polygon shaped confidence regions based on intersecting regions from multiple receivers. The presence of outlier angle of arrival measurements is shown to significantly degrade the performance of geolocation algorithms. Methods for imparting robustness to outlier angle of arrival measurements are developed and shown to mitigate the corresponding loss in performance that would otherwise occur.