An Automatic Signal Processor for LDV Systems

Jenson, L.; Menon, Rajan; Fingerson, L. M.

doi:10.1007/978-3-642-83844-6_24

Cited by 7 publications

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“…Reference [4] provides results of verification tests for the above signal frequency processing scheme. The phase processor uses the burst gate and the burst code to optimize the measurement of phase lead of the first phase/Doppler signal relative to the second phase/Doppler signal.…”

Section: Autocorrelation Based Signal Frequency Processingmentioning

confidence: 99%

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A Device for Phase Shift Measurement in an Advanced Phase Doppler Velocimeter

Evenstad

Naqwi

1998

Part. Part. Syst. Charact.

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Construction and performance of a printed circuit board is described that is built for phase measurement in a state-of-theart phase Doppler system. Special requirements in treating phase Doppler signals are highlighted and shown to be met satisfactorily by an innovative electronic design that involves signal burst detection, multi-bit sampling, frequency-band narrowing, and phase signal validation based on integrated amplitude and waveform recognition. Performance of the device is measured in terms of phase accuracy for various signal-to-noise ratios, signal frequencies and operating temperatures. The present device is also compared with some alternative techniques for phase measurement.

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Section: Autocorrelation Based Signal Frequency Processingmentioning

confidence: 99%

“…The signal amplitude at this point has two-level resolution, which is shown to be adequate, and under some conditions desirable [3,4], for accurate frequency measurement. The burst detector has the following two functions: 1.…”

Section: Autocorrelation Based Signal Frequency Processingmentioning

confidence: 99%

A Device for Phase Shift Measurement in an Advanced Phase Doppler Velocimeter

Evenstad

Naqwi

1998

Part. Part. Syst. Charact.

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“…counter or the quadrature demodulation technique [1,2]), in the spectral domain (i.e. tracker [3], burst/real-time spectrum analyser [4][5][6] or wavelet processors [7][8][9]) or the estimation from the correlation function [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Analysis of dual-burst laser Doppler signals

Nobach

2001

Meas. Sci. Technol.

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The processing of signals from a laser Doppler anemometer (LDA) normally requires that the signals originate from single particles. Therefore, adequate validation procedures are implemented in available LDA processors, rejecting signals with more than one burst (multi-burst signals). In this article LDA signals are investigated with two overlapping bursts (dual-burst signals). The signal statistics and the necessity of burst separation are discussed. Furthermore, an algorithm is presented, which can be used to detect and to process dual-burst signals and, finally, the capability of the technique is demonstrated using simulated and experimentally obtained signals.

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“…Despite the recent development of special purpose signal processors, such as the Correlex processor, aimed to process noisy LDV signals (Menon, 1987), and the IFA 550 (Jenson et al, 1988), which is a low-cost signal processor that automates the measurement process, but does not have the flexibility of the counter, it is believed that the counter still represents the optimum signal processor for most LDV applications, including the steady streaming flow. On the other hand, the Burst Spectrum Analyzer developed by Dantec (Buchhave, 1987), which is based on the implementation of a power spectral estimator by means of an FFT algorithm, has been shown to be superior to conventional counters, but its high cost (2-3 times that of a counter) makes it intractable.…”

Section: -τ77777ύ77777τmentioning

confidence: 99%

Rheological Characterization of Drag-Reducing Fluids

Βλασσοπουλοσ¹

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for his unfailing support and friendship throughout the course of this work. His approach to science and his deep physical intuition will undoubtly influence me throughout all my career. I truly appreciate his concern, understanding, and encouragement, especially during the difficult moments of my stay in Princeton.Many thanks to my second reader, Professor Robert K. Prud'homme, for his genuine interest and useful suggestions, and for the long-term loan of several TSI components. I am indebted to Professor William W. Graessley for his help with the characterization of the polymers, and for giving me the opportunity to perform some important measurements at Exxon. Special mention goes out to Professor William B. Rüssel for his help with important non-technical matters. I would like to acknowledge the entire staff of the department for its support. Special thanks to Peggy Pearce and Betty Bixby for their help with administrative matters, and to Archie Harkness for machining several parts of my apparatus.Outside of the department, I wish to especially thank Professor Alexander J. Smits, in Mechanical and Aerospace Engineering, for his enthusiastic support, and for offering me to use the space and facilities of the Gas Dynamics Laboratory, in Forrestal Campus, in order to perform my experiments. Professor Behrouz Chehroudi, from the University of Illinois at Chicago, helped me a lot with the LDV signal processing, and ν let me use his data acquisition program. Dr. Man Won Kim and Mr. Robert W. Thomas, both from Exxon, have been extremely helpful with the molecular weight and shear viscosity measurements. Professor Antony N. Beris, from the University of Delaware, made helpful suggestions and was always generous with his time. Professor Daniel C. Tsui, in Electrical Engineering, is thanked for the long-term loan of his electromagnet. Several improvements to this thesis are the result of long discussions with my groupmates. Thanks to Martin Wittmann, Dave Davidson, Fred Lim, Frank Torres, Gary Christensen, Mike Koerner, and Rick Mifflin. I would like to especially thank Martin and Dave. The solutions preparation, construction of drag reduction apparatus, and the Exxon experiments, have all been results of a joint effort with Martin, who also answered several questions about UNDC during the after hours. Dave helped me use his nonlinear fitting and IBM plotting routines, and discussed with me numerous topics in non-Newtonian fluid mechanics during coffee breaks. I am particularly grateful to Yiannis Dimitratos for his friendship, for several great weekends together, and for lending me his camera indefinitely. Many thanks to my good friends Dave & Dawn Davidson (for several great evenings, and for convincing me that cows are intelligent), Martin Wittmann (for six years of common experiences in the CAVE), and Stelios Tsinontides (for our numerous discussions, ranging from chemical engineering to presidential politics), and also to Prabhu Nott,

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An Automatic Signal Processor for LDV Systems

Cited by 7 publications

References 0 publications

A Device for Phase Shift Measurement in an Advanced Phase Doppler Velocimeter

A Device for Phase Shift Measurement in an Advanced Phase Doppler Velocimeter

Analysis of dual-burst laser Doppler signals

Rheological Characterization of Drag-Reducing Fluids

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