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.]
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