Ionosphere Scintillation Effects on GPS Measurements, a New Carrier-Smoothing Technique, and Positioning Algorithms to Improve Accuracy

Author(s):  
Gregory T. Myer ◽  
Yu T. (Jade) Morton
2019 ◽  
Author(s):  
Holly Oemke ◽  
Margaret Pain ◽  
Daniel Charytonowicz ◽  
Leslie Schlachter ◽  
Anthony Costa ◽  
...  

1994 ◽  
Author(s):  
Asta Miklius ◽  
E.Y. Iwatsubo ◽  
R.P. Denlinger ◽  
A.T. Okamura ◽  
M.K. Sako ◽  
...  
Keyword(s):  

Author(s):  
Ramya Yeluri ◽  
Ravishankar Thirugnanasambandam ◽  
Cameron Wagner ◽  
Jonathan Urtecho ◽  
Jan M. Neirynck

Abstract Laser voltage probing (LVP) has been extensively used for fault isolation over the last decade; however fault isolation in practice primarily relies on good-to-bad comparisons. In the case of complex logic failures at advanced technology nodes, understanding the components of the measured data can improve accuracy and speed of fault isolation. This work demonstrates the use of second harmonic and thermal effects of LVP to improve fault isolation with specific examples. In the first case, second harmonic frequency is used to identify duty cycle degradation. Monitoring the relative amplitude of the second harmonic helps identify minute deviations in the duty cycle with a scan over a region, as opposed to collecting multiple high resolution waveforms at each node. This can be used to identify timing degradation such as signal slope variation as well. In the second example, identifying abnormal data at the failing device as temperature dependent effect helps refine the fault isolation further.


2020 ◽  
Vol 11 (4) ◽  
pp. 242-251
Author(s):  
Mallika Mullick ◽  
Dhruba Mukhopadhyay

2021 ◽  
Vol 11 (15) ◽  
pp. 7007
Author(s):  
Janusz P. Paplinski ◽  
Aleksandr Cariow

This article presents an efficient algorithm for computing a 10-point DFT. The proposed algorithm reduces the number of multiplications at the cost of a slight increase in the number of additions in comparison with the known algorithms. Using a 10-point DFT for harmonic power system analysis can improve accuracy and reduce errors caused by spectral leakage. This paper compares the computational complexity for an L×10M-point DFT with a 2M-point DFT.


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