BRC: Co-Prime Sensor Array Signal Processing
Abstract
Passive and active sonar are critical enabling technologies for the Navy. Almost every sonar system employs transmit or receive arra"ys, or both. Co-prime sensor arrays (CSAs) offer the possibility of achieving the resolution of densely-populated uniform arrays usi"ng novel array geometries with far fewer sensors. Reducing the number of sensors using CSAs will have significant payoffs for the Na"vy in terms of acquisition costs for transducer and hydrophone arrays. In addition, arrays with fewer sensors require less complicat""ed data acquisition hardware, which can reduce maintenance costs and increase system reliability. For towed array systems, CSAs coul"d reduce the mass and the drag on the array. These potential benefits would be especially valuable in battery-powered unmanned systems. The overall goal of this project is to explore co-prime sensing arrays and their associated beamforming algorithms. The proposed research has three specific objectives. The first is to investigate the performance of the existing CSA algorithms for more realist"ic models of input noise, signal coherence, and sensor position errors. The second is to develop adaptive beamformers for CSAs and c"haracterize their performance. The third is to explore the connections between CSA designs and other non-uniform and lattice samplin"g results. The project will include theoretical analysis, simulation studies, and application to experimental data, including existi"ng ocean datasets.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 01, 2017
- Source ID
- N000141712734
Entities
People
- Kathleen E Wage
Organizations
- George Mason University
- Office of Naval Research
- United States Navy