A Fast Acquisition Algorithm for GNSS Multi-System Interoperability Signals

2013 ◽  
Vol 411-414 ◽  
pp. 1025-1032 ◽  
Author(s):  
Zhong Liang Deng ◽  
Lu Yin ◽  
Yue Xi ◽  
Zhong Wei Zhan ◽  
Hui Dong ◽  
...  
Keyword(s):  
Acquisition Time ◽  
Signal Systems ◽  
Fast Acquisition ◽  
Signal Features ◽  
Stop Time ◽  
Acquisition Speed ◽  
Modulated Signals ◽  
System Interoperability ◽  
Time Division

There are more acquisition cells and long stop time on each cell because of the features of the new GNSS signal systems. So the average acquisition time of the new signals increase much longer than the former one. The new signal features was analyzed at first in this paper, and then the acquisition algorithm of QPSK and MBOC modulated signals was introduced separately. A Multiplexing Channel of Time-Division technique and Multi-frequency aid algorithm was proposed to increase the acquisition speed. This new fast acquisition algorithm significantly reduced the average acquisition time of the new GNSS signal systems.

Frequency-Scanning BOTDA With Ultimately Fast Acquisition Speed

2015 ◽  
Vol 27 (13) ◽  
pp. 1426-1429 ◽  
Author(s):  
Ido Sovran ◽  
Avi Motil ◽  
Moshe Tur
Keyword(s):  
Frequency Scanning ◽  
Fast Acquisition ◽  
Acquisition Speed

scholarly journals Quantitative FRET Analysis by Fast Acquisition Time Domain FLIM at High Spatial Resolution in Living Cells

2008 ◽  
Vol 95 (6) ◽  
pp. 2976-2988 ◽  
Author(s):  
Sergi Padilla-Parra ◽  
Nicolas Audugé ◽  
Maïté Coppey-Moisan ◽  
Marc Tramier
Keyword(s):  
Spatial Resolution ◽  
Time Domain ◽  
High Spatial Resolution ◽  
Living Cells ◽  
Acquisition Time ◽  
Fast Acquisition ◽  
Quantitative Fret Analysis

Widefield frequency domain fluorescence lifetime imaging microscopy (FD-FLIM) for accurate measurement of oxygen gradients within microfluidic devices

The Analyst ◽  
2019 ◽  
Vol 144 (11) ◽  
pp. 3494-3504 ◽  
Author(s):  
Hsiao-Mei Wu ◽  
Tse-Ang Lee ◽  
Ping-Liang Ko ◽  
Wei-Hao Liao ◽  
Tung-Han Hsieh ◽  
...  
Keyword(s):  
Frequency Domain ◽  
Fluorescence Lifetime ◽  
Microfluidic Devices ◽  
Fluorescence Lifetime Imaging Microscopy ◽  
Fluorescence Lifetime Imaging ◽  
Oxygen Gradient ◽  
Lifetime Imaging ◽  
Fast Acquisition ◽  
Oxygen Gradients ◽  
Acquisition Speed

A widefield FD-FLIM system with fast acquisition speed is utilized to accurately characterize oxygen gradient distributions within microfluidic devices.

A Fast Acquisition System for Large-Scale Optical Microscopic Integrated Circuit Chip Images Based on Thin Plate Spline

2013 ◽  
Vol 303-306 ◽  
pp. 1629-1634
Author(s):  
Xu Zhang ◽  
Xi Chen ◽  
Li Xin Wei ◽  
Hong Tu Ma ◽  
Hua Han
Keyword(s):  
Thin Plate ◽  
Integrated Circuit ◽  
Large Scale ◽  
Surface Fitting ◽  
Optical Microscope ◽  
Thin Plate Spline ◽  
Acquisition System ◽  
Acquisition Time ◽  
Fast Acquisition ◽  
Auto Focusing

When large-scale images acquisition conducted on an Integrated Circuit (IC) chip by using an optical microscope, multi-layer routing structure and transparent inter-layer dielectric of IC chips can interfere with auto-focusing of an optical microscope, which significantly increases the images’ acquisition time. To solve the forementioned problems, a fast acquisition system is proposed based on surface fitting. First of all, we obtain focus plane height of multiple scattered points through pre-acquisition. Then, the surface fitting method, with Thin Plate Spline (TPS) model is applied, to get the height of the rest points. Thus the system can acquire correct surface-layer images of an IC chip without background interference. The experimental results suggest that the proposed technology is highly superior to manual acquisition system and auto-focusing based acquisition system in acquisition accuracy and speed, and it also decreases the amount of manual workload by 70%-80%.

The Depth/Breadth Tradeoff in Hierarchical Computer Menus

1981 ◽  
Vol 25 (1) ◽  
pp. 296-300 ◽  
Author(s):  
Dwight P. Miller
Keyword(s):  
Acquisition Time ◽  
Design Consideration ◽  
Computer Terminal ◽  
Semantic Hierarchy ◽  
Acquisition Speed ◽  
Important Design ◽  
Speed And Accuracy

Goal acquisition speed and accuracy were compared for subjects using four different menu configurations of a semantic hierarchy on an interactive computer terminal. Depth (the number of menu levels) varied from one to six, while breadth (the number of choices per menu) varied from two to 64. Goal acquisition time for the four experimental groups produced a U-shaped function with a minimum at the configuration of two levels with eight choices per level. Error data corroborated the acquisition times demonstrating that the fastest conditions also produced the least errors. Optimization of the depth/breadth tradeoff can be an important design consideration in goal acquisition tasks requiring speed and accuracy.

scholarly journals A Fine Fast Acquisition Scheme for a Communication and Navigation Fusion System

2020 ◽  
Vol 10 (10) ◽  
pp. 3434
Author(s):  
Zhongliang Deng ◽  
Buyun Jia ◽  
Shihao Tang ◽  
Xiao Fu
Keyword(s):  
Search Space ◽  
Detection Performance ◽  
Acquisition Time ◽  
Signal Acquisition ◽  
Fusion System ◽  
Space Reduction ◽  
Fast Acquisition ◽  
Fast Processing ◽  
Detection Stage ◽  
Acquisition Method

A novel communication and navigation fusion system (CNFS) based on cellular communication system is developed to realize high-accuracy localization. Because of the small signal coverage of every transmitter and the fluctuation of received signal and noise, the CNFS positioning receiver requires fast processing of signal and stable performance. As the first operation performed by receiver, signal acquisition with fast speed and stable detection performance should be realized. This paper proposed a novel fast acquisition method with fine detection performance using search space reduction (SSR) and DD-MAX/TC-CACFAR techniques. SSR method is utilized to reduce the size and number of search space in the cross ambiguity function (CAF) evaluation stage. DD-MAX/TC-CACFAR method is employed to realize fine and stable detection performance in signal detection stage. The expressions of acquisition time are then derived considering the size and number of search space and the detection performance. Theoretical performance analysis and Monte Carlo simulation, which contain the comparison with other acquisition method, are presented to demonstrate the effectiveness of proposed method. Simulation and analysis results show that the proposed method can realize fast acquisition with fine and stable detection performance.

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