Accession Number:

ADA465242

Title:

Parallel Matched-Field Tracking (MFT) for Distributed Deployable Systems

Descriptive Note:

Research paper

Corporate Author:

FLORIDA UNIV GAINESVILLE HIGH-PERFORMANCE COMPUTING AND SIMULATION RESEARCH LAB

Personal Author(s):

• Han, J.
• Koh, B.
• George, Alan D.
• Kim, K.

Report Date:

2001-01-01

Pagination or Media Count:

4.0

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.

Descriptors:

• *SIGNAL PROCESSING
• *ACOUSTIC DETECTION
• *PARALLEL PROCESSING
• *LITTORAL ZONES
• *UNDERWATER TARGETS
• *UNDERWATER TRACKING
• *SONAR SIGNALS
• ALGORITHMS
• LOW POWER
• SEA CLUTTER
• NETWORK ARCHITECTURE
• SONAR ARRAYS
• ACOUSTIC TRACKING
• MILITARY APPLICATIONS
• SUBMARINE DETECTION
• SHALLOW WATER
• TEST BEDS
• DISTRIBUTED DATA PROCESSING
• REAL TIME

Subject Categories:

• Computer Programming and Software
• Undersea and Antisubmarine Warfare
• Acoustic Detection and Detectors
• Radiofrequency Wave Propagation

Distribution Statement:

APPROVED FOR PUBLIC RELEASE