Parallel Matched-Field Tracking (MFT) for Distributed Deployable Systems
Abstract
Quiet submarine threats and high clutter in the littoral undersea environment demand the development and use of enhanced and new acoustic processing algorithms with increased sophistication. These algorithms exhibit high levels of computational complexity and memory utilization, making implementation in real-time sonar array systems a significant challenge. Concomitant with the increase in demand for computing resources implied by new acoustic processing algorithms, mission requirements continue to transition toward the goal of autonomous, in-situ processing with minimal off-array communication and battery power consumption. Taken together, these trends make imperative the development and use of advanced distributed and parallel processing techniques in terms of algorithm, architecture, network, and system design. In that regard, this presentation focuses on the design and analysis of several novel parallel algorithms for a prominent algorithm in sonar array processing, Matched-Field Tracking (MFT), and includes promising experimental results from a distributed array testbed comprised of a network of SHARC processors.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2001
- Accession Number
- ADA465242
Entities
People
- Alan D. George
- B. Koh
- Jinchen Han
- Keehoon Kim
Organizations
- University of Florida