Real-time signal processing in field programmable gate array based digital gamma-ray spectrometer

2020 ◽  
Vol 91 (10) ◽  
pp. 104707
Author(s):  
Yinyu Liu ◽  
Hao Xiong ◽  
Chunhui Dong ◽  
Chaoyang Zhao ◽  
Quanfeng Zhou ◽  
...  
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Field Programmable Gate Array ◽  
Gamma Ray ◽  
Time Signal ◽  
Gamma Ray Spectrometer ◽  
Field Programmable ◽  
Gate Array ◽  
Real Time Signal Processing

scholarly journals Measurement uncertainty analysis of field-programmable gate-array-based, real-time signal processing for ultrasound flow imaging

2020 ◽  
Vol 9 (2) ◽  
pp. 227-238 ◽  
Author(s):  
Richard Nauber ◽  
Lars Büttner ◽  
Jürgen Czarske
Keyword(s):  
Signal Processing ◽  
Computational Complexity ◽  
Measurement Uncertainty ◽  
Field Programmable Gate Array ◽  
Time Signal ◽  
Flow Imaging ◽  
Doppler Velocimetry ◽  
Spatiotemporal Resolution ◽  
Field Programmable ◽  
Gate Array

Abstract. Research in magnetohydrodynamics (MHD) aims to understand the complex interactions of electrically conductive fluids and magnetic fields. A promising approach for investigating complex instationary flow phenomena are lab-scale experiments with low-melting alloys. They require a noninvasive flow instrumentation for opaque liquids with a high spatiotemporal resolution, a low velocity uncertainty and a long measurement duration. Ultrasound Doppler velocimetry can achieve multiplane, multicomponential flow imaging with multiple linear ultrasound arrays. However the average raw data output amounts to 1.2 GBs−1 at a frame rate of 33 Hz in a typical configuration for 200 transducers. This usually prevents long-duration measurements when offline signal processing is used. In this paper, we propose an online signal-processing chain for pulsed-wave Doppler velocimetry that is tailored to the specific requirements of flow imaging for lab-scale experiments. The trade-off between measurement uncertainty and computational complexity is evaluated for different algorithmic variants in relation to the Cramér–Rao bound. By utilizing selected approximations and parameter choices, a prepossessing could be efficiently implemented on a field-programmable gate array (FPGA), enabling a typical reduction of the data bandwidth of 6.5:1 and online flow visualization. We validated the performance of the signal processing on a test rig, yielding a velocity standard deviation that is a factor of 3 above the theoretical limit despite a low computational complexity. Potential applications for this signal processing include multihour flow measurements during a crystal-growth process and closed-loop velocity feedback for model experiments.

Research on Real-Time Signal Processing of the Missile-Borne SAR

2011 ◽  
Vol 30 (4) ◽  
pp. 1010-1013
Author(s):  
Zhi-ming He ◽  
Jiang Zhu ◽  
Bo Zhou
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Time Signal ◽  
Real Time Signal Processing
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