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Improved Sound-based Localization Through a Network of Reconfigurable Mixed-Signal Nodes

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dc.contributor.advisor DOBOLI, ALEX en_US
dc.contributor.author Umbarkar, Anurag en_US
dc.contributor.other Department of Computer Engineering en_US
dc.date.accessioned 2012-05-15T18:07:10Z
dc.date.available 2012-05-15T18:07:10Z
dc.date.issued 1-Aug-10 en_US
dc.date.submitted Aug-10 en_US
dc.identifier UMBARKAR_grad.sunysb_0771M_10188.pdf en_US
dc.identifier.uri http://hdl.handle.net/1951/55655
dc.description.abstract There have been extensive theoretical studies on sound-based localization using pairs of microphones as well as microphone arrays. In contrast, there has been much less work on implementing and experimenting sound-based localization realized as customized electronic designs. This thesis presents a low cost implementation of a phase-based sound localization method. The implementation uses PSoC programmable mixed-signal embedded System on Chip, which incorporates microcontroller, on-chip SRAM and flash memory, programmable digital blocks and programmable analog blocks, all integrated on the same chip. The report presents a set of experiments to characterize the quality of localization using the proposed low-cost design.In addition, the thesis suggests a modification in the digital signal processing part through which Maximum Likelihood is replaced by an alternative method. The results for both these methods are then compared on the basis of accuracy, memory requirement and execution time. In order to improve the localization accuracy, filter corner frequency reconfiguration and gain reconfiguration is implemented. A wireless sensor network implementation is alsopresented. An extensive set of experiments are provided to explore the advantages of dynamic reconfigurability as well as the network implementation. en_US
dc.description.sponsorship Stony Brook University Libraries. SBU Graduate School in Department of Computer Engineering. Lawrence Martin (Dean of Graduate School). en_US
dc.format Electronic Resource en_US
dc.language.iso en_US en_US
dc.publisher The Graduate School, Stony Brook University: Stony Brook, NY. en_US
dc.subject.lcsh Computer Engineering -- Engineering, Electronics and Electrical en_US
dc.title Improved Sound-based Localization Through a Network of Reconfigurable Mixed-Signal Nodes en_US
dc.type Thesis en_US
dc.description.advisor Advisor(s): ALEX DOBOLI. Committee Member(s): SANGJIN HONG. en_US
dc.mimetype Application/PDF en_US

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