A genetic algorithm from literature is adapted to design piezoelectric sonar sensors using results from physics simulations to optimize for a uniform voltage response over a wide range of frequencies. The adapted genetic algorithm produces valid sensor designs, and algorithm improvements are proposed. The best case general methods for bathymetric mapping with a sonar sensor is determined by sweeping various point selection algorithms, interpolation algorithms, and algorithm parameters. A set of methods are proposed based on how many sample points are used and what error metric is preferred. Additional algorithms are suggested for future improvements.
|Commitee:||El Kari, Chadi, Mueller, David|
|School:||University of the Pacific|
|School Location:||United States -- California|
|Source:||MAI 56/05M(E), Masters Abstracts International|
|Subjects:||Computer Engineering, Engineering, Electrical engineering|
|Keywords:||Bathymetric, Bathymetry, Mapping, Piezoelectric, Sonar|
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