&lt;title&gt;Efficient true-time-delay adaptive array processing&lt;/title&gt;

Wagner, Kelvin; Kraut, S.; Griffiths, L.J.; Weaver, Samuel P.; Weverka, Robert T.; Sarto, Anthony W.

doi:10.1117/12.257233

Cited by 8 publications

(3 citation statements)

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“…Barbarossa and Laybourn 26 use optical delay lines for processing. Wagner et al 27 perform adaptive array processing with recirculating loops. There are several applications of microwave processing with delay line loops.…”

Section: Related Workmentioning

confidence: 99%

Optical delay line memory model with efficient algorithms

Reif

Tyagi

1997

Opt. Eng

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The extremely high data rates of optical computing technology (100 Mwords/s and upward) present unprecedented challenges in the dynamic memory design. An optical fiber loop used as a delay line is the best candidate for primary, dynamic memory at this time. However, it poses special problems in the design of algorithms due to synchronization requirements between the loop data and the processor. We develop a theoretical model, which we call the loop memory model (LLM), to capture the relevant characteristics of a loop-based memory. An important class of algorithms, ascend/descend-which includes algorithms for merging, sorting, discrete Fourier transformation (DFT), matrix transposition, and multiplication and data permutation-can be implemented without any time loss due to memory synchronization. We develop both sequential and parallel implementations of ascend/descend algorithms and some matrix computations. Some lower bounds are also demonstrated.

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Section: Related Workmentioning

confidence: 99%

Optical delay line memory model with efficient algorithms

Reif

Tyagi

1997

Opt. Eng

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“…This is the reason that most DSP approaches utilize techniques that reduce the problem size, such as subarray adaptation. In this way the number of adaptive parameters are reduced at the expense of sacrificing optimal processing, thus diminishing their ability to process data from complex signal environments with large numbers of targets.As an alternative, in this proiject we investigated a class of optical processors that we have previously employed[1,2,3,4] for adaptive phased-array radar jammer-nulling and beamsteering operations. This architecture is fully adaptive, with the full ml degress of freedom, but requires only 1 feedback delay line and one additional delay line per adaptively formed beam.…”

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confidence: 99%

“…illustrates the algorithm we have developed for optical implementation, BEAM-TAP (Broadband Efficient Adaptive Method for Time-delay Array Processing)[4]Broadband Efficient Adaptive Method for TTD Array Processing (BEAMTAP): Instead of a delay line from every array sensor, there are just two delay lines: one to delay the feedback signal which writes the weights, and another to read out the weights by delaying the column outputs before they are summed up to form the final output. instead uses only two delay lines.…”

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Efficient Adaptive Optical Processing for Sonar Arrays

Wagner¹,

Kraut²,

Griffiths³

1999

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Broadband efficient adaptive method for true-time-delay array processing

Wagner

Weaver²,

Kraut³

et al.

1998 IEEE Aerospace Conference Proceedings (Cat. No.98TH8339)

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In this paper we present a new approach to efficient true-time-delay (TTD) beamforming for large adaptive phased arrays as well as its elegant and compact optical implementation. This Broadband and Efficient Adaptive Method for Time-delay Array Processing (BEAMTAP) algorithm decreases the number of tapped delay lines required to process an N-element phased array antenna from N to only 2, producing an enormous savings in delay-line hardware, especially for large arrays, while still providing the full N M degrees of freedom of a conventional N element time delay beamformer with AI taps each. This allows the system to fully and optimally adapt to an arbitrarily complex spatio-temporal signal environment that can contain broadband signals, noise, and narrowband and broadband jammers, all of which can arrive from arbitrary ranges and angles onto an arbitrarily shaped array. thus enabling a variety of application in radar, sonar, and communication. This algorithm is an excellent match with the capabilities of RF photonic systems using gratings in photorefractive crystals as adaptive weights, because the hardware implementation of tapped delay lines is the factor which limits the scalability of these systems to large arrays. Because the number of available adaptive coefficients in a photorefractive crystal is practically unlimited, these photonic systems can adaptively control very large l-D or 2-D phased arrays, that are well beyond the capabilities of conventional RF or real-time digital signal processing techniques.

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<title>Efficient true-time-delay adaptive array processing</title>

Cited by 8 publications

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Optical delay line memory model with efficient algorithms

Optical delay line memory model with efficient algorithms

Efficient Adaptive Optical Processing for Sonar Arrays

Broadband efficient adaptive method for true-time-delay array processing

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