Real-time array signal processors for embedded applications

Advances in commercial computing technology have allowed for real-time implementations of adaptive array algorithms in radar and sonar systems. Front-end processing has been able to exploit VLSI ASICs and FPGAs to perform bulk filtering and beamforming, while massively parallel processors can be use...

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description Advances in commercial computing technology have allowed for real-time implementations of adaptive array algorithms in radar and sonar systems. Front-end processing has been able to exploit VLSI ASICs and FPGAs to perform bulk filtering and beamforming, while massively parallel processors can be used to handle the more data-driven adaptive processing requirements. This paper focuses on how various processing architectures can be used to provide the high computational and communication specifications for adaptive algorithms while still maintaining the continuous throughput and low latency requirements of real-time applications.
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identifier ISSN: 1058-6393
ispartof Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020), 1999, Vol.2, p.1381-1385 vol.2
issn 1058-6393
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language eng
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Adaptive arrays
Adaptive filters
Computers
Field programmable gate arrays
Radar
Real time systems
Signal processing
Signal processing algorithms
Sonar
Very large scale integration
title Real-time array signal processors for embedded applications
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