Skip to Main content Skip to Navigation
Journal articles

Reconstruction Technique of Distorted Sensor Signals with Low-Pass NGD Function

Abstract : This paper develops a new reconstruction technique of undesirable signal distortion generated by sensor electronic circuits. The introduced reconstruction technique is originally realized with unfamiliar low-pass negative group delay (NGD) function. The feasibility condition of the proposed reconstruction technique in function of the sensor signal spectrum bandwidth under consideration is elaborated. The reconstruction technique principle is theoretically introduced by means of identification of low-pass NGD function parameters and the appropriated circuit topology. The unfamiliar low-pass NGD function analysis and synthesis equations are established. As an example, for the feasibility study, an RC-network based low-pass active cell is considered to implement the low-pass NGD function. A design method of NGD circuit in function of the sensor distortion transfer function is described in different successive steps. The developed NGD reconstruction technique is validated by different proofs of concept. First, transient simulations are carried out with Gaussian and sinc analytical signals. Then, experimental feasibility study is also performed with arbitrary waveform signal. As expected, the NGD reconstruction technique efficiency is confirmed with improvement of distorted signal integrity parameters and cross correlation better than 97%.
Complete list of metadatas

Cited literature [41 references]  Display  Hide  Download
Contributor : Nour Mohammad Murad <>
Submitted on : Wednesday, September 2, 2020 - 10:18:21 AM
Last modification on : Saturday, October 3, 2020 - 3:12:12 AM


Publication funded by an institution


Distributed under a Creative Commons Attribution 4.0 International License



Blaise Ravelo, Wenceslas Rahajandraibe, Yajian Gan, Fayu Wan, Nour Murad, et al.. Reconstruction Technique of Distorted Sensor Signals with Low-Pass NGD Function. IEEE Access, IEEE, 2020, 8, ⟨10.1109/ACCESS.2020.2994630⟩. ⟨hal-02927123⟩



Record views


Files downloads