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Perfect sensor coverage of large ocean volumes is an intractable problem for small N systems. Instead, this paper presents optimal placement of relatively few sensors in order to achieve coherent… Click to show full abstract
Perfect sensor coverage of large ocean volumes is an intractable problem for small N systems. Instead, this paper presents optimal placement of relatively few sensors in order to achieve coherent array processing. The sensor placement will simulate acoustic beam steering despite being a severely underdetermined problem. Utilizing the statistical restricted isometry property (StRIP), with high probability, a stable (invertable) sparse array will be formed. Additionally, sensor placement will be shown with spatial constraints such as improved field of view (resolution and side lobe suppression) in a direction of a priori interest. A comparison of the StRIP optimized network will be made with co-prime samplers, random arrays, and Wichmann and Golomb rulers. [This work was supported by ONR.]
Journal Title: Journal of the Acoustical Society of America
Year Published: 2017
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