Real-Time Sonar Beamforming on High-Performance Distributed Computers

摘要

Rapid advancements in acoustical beamforming techniques for array signal processing are producing algorithms with increased levels of computational complexity. Concomitantly, autonomous arrays capable of performing most or all of the processing in situ have become a focus for mission-critical applications. To address these changes, future sonar systems will take advantage of parallel in-array processing by coupling transducer nodes with low-power processing devices to achieve higher performance and fault tolerance at lower cost. This paper explores parallel algorithms for conventional beamforming (CBF) designed for an in-array processing system. The parallel algorithms presented o er scaled speedup and provide the basis for adaptations in advanced beamforming algorithms.