Comparison of wired and wireless synchronization with clock drift compensation suited for U-TDoA localization

2016 ◽  
Author(s):  
Swen Leugner ◽  
Mathias Pelka ◽  
Horst Hellbruck
Keyword(s):  
Clock Drift ◽  
Drift Compensation

scholarly journals Non-Cooperative Bistatic SAR Clock Drift Compensation for Tomographic Acquisitions

2017 ◽  
Vol 9 (11) ◽  
pp. 1087 ◽  
Author(s):  
Mario Azcueta ◽  
Stefano Tebaldini
Keyword(s):  
Clock Drift ◽  
Bistatic Sar ◽  
Drift Compensation

scholarly journals Drift Compensation on Massive Online Electronic-Nose Responses

Chemosensors ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 78
Author(s):  
Jianhua Cao ◽  
Tao Liu ◽  
Jianjun Chen ◽  
Tao Yang ◽  
Xiuxiu Zhu ◽  
...  
Keyword(s):  
Active Learning ◽  
Gas Sensor ◽  
Electronic Nose ◽  
Effective Means ◽  
Learning Paradigm ◽  
Class Label ◽  
Learning Framework ◽  
Sensor Drift ◽  
Drift Compensation ◽  
Noisy Labels

Gas sensor drift is an important issue of electronic nose (E-nose) systems. This study follows this concern under the condition that requires an instant drift compensation with massive online E-nose responses. Recently, an active learning paradigm has been introduced to such condition. However, it does not consider the “noisy label” problem caused by the unreliability of its labeling process in real applications. Thus, we have proposed a class-label appraisal methodology and associated active learning framework to assess and correct the noisy labels. To evaluate the performance of the proposed methodologies, we used the datasets from two E-nose systems. The experimental results show that the proposed methodology helps the E-noses achieve higher accuracy with lower computation than the reference methods do. Finally, we can conclude that the proposed class-label appraisal mechanism is an effective means of enhancing the robustness of active learning-based E-nose drift compensation.

scholarly journals Photonic Reservoir Computer with Output Expansion for Unsupervized Parameter Drift Compensation

Entropy ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. 955
Author(s):  
Jaël Pauwels ◽  
Guy Van der Sande ◽  
Guy Verschaffelt ◽  
Serge Massar
Keyword(s):  
Electronic System ◽  
Nonlinear Functions ◽  
System Complexity ◽  
Trade Off ◽  
Parameter Drift ◽  
Output Layer ◽  
Drift Compensation ◽  
Output Neurons ◽  
Performance Gains

We present a method to improve the performance of a reservoir computer by keeping the reservoir fixed and increasing the number of output neurons. The additional neurons are nonlinear functions, typically chosen randomly, of the reservoir neurons. We demonstrate the interest of this expanded output layer on an experimental opto-electronic system subject to slow parameter drift which results in loss of performance. We can partially recover the lost performance by using the output layer expansion. The proposed scheme allows for a trade-off between performance gains and system complexity.

scholarly journals Optimal Two-way TOA Localization and Synchronization for Moving User Devices with Clock Drift

2021 ◽  
pp. 1-1
Author(s):  
Sihao Zhao ◽  
Xiao-Ping Zhang ◽  
Xiaowei Cui ◽  
Mingquan Lu
Keyword(s):  
Clock Drift
Sign in / Sign up

Export Citation Format

Share Document