Co-Prime Sensor Array Signal Processing
Abstract
Passive and active sonar are critical enabling technologies for the Navy. Almost every sonarsystem employs transmit or receive arrays, or both. Co-prime sensor arrays (CSAs) offer the possibilityof achieving the resolution of densely-populated uniform arrays using novel array geometrieswith far fewer sensors. Reducing the number of sensors using CSAs will have significant payoffsfor the Navy in terms of acquisition costs for transducer and hydrophone arrays. In addition, arrayswith fewer sensors require less complicated data acquisition hardware, which can reduce maintenancecosts and increase system reliability. For towed array systems, CSAs could reduce the massand the drag on the array. These potential benefits would be especially valuable in battery-poweredunmanned systems. The overall goal of this project is to explore co-prime sensing arrays and theirassociated beamforming algorithms. The proposed research has three specific objectives. Thefirst is to investigate the performance of the existing CSA algorithms for more realistic modelsof input noise, signal coherence, and sensor position errors. The second is to develop adaptivebeamformers for CSAs and characterize their performance. The third is to explore the connectionsbetween CSA designs and other non-uniform and lattice sampling results. The project will includetheoretical analysis, simulation studies, and application to experimental data.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 05, 2017
- Source ID
- N000141712397
Entities
People
- John R. Buck
Organizations
- Office of Naval Research
- United States Navy
- University of Massachusetts