Detailed Information

Cited 0 time in webofscience Cited 1 time in scopus
Metadata Downloads

A Super Resolution Algorithms for Time Delay Measurement

Authors
Chandrasegar, V.K.Park, G.Koh, J.
Issue Date
2021
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Cross-correlation; Matrix Pencil Method; Multiple Signal Classification; Super Resolution; Time Delay Estimation
Citation
2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings, pp.1137 - 1138
Indexed
SCOPUS
Journal Title
2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings
Start Page
1137
End Page
1138
URI
https://scholarworks.bwise.kr/gnu/handle/sw.gnu/5584
DOI
10.1109/APS/URSI47566.2021.9704516
ISSN
0000-0000
Abstract
Time Delay Estimation (TDE) has been studied for a long time in the field of signal processing, sonar, radar, seismic waves, and radio waves. This paper uses the Matrix Pencil Method to restore super-resolution Time Delay Estimation (TDE) of signals in multi-path settings (MPM). To validate the proposed algorithm, errors were measured and compared to the traditional Multiple Signal Classification (MUSIC) and cross-correlation methods. TDE uses cross-correlation to develop calculations based on a single model called the optimal environment, but the accuracy of measurements continues to deteriorate as two or three signals are gradually entered at × shorter than the time period, necessitating super-resolution accurate time delay calculations such as MPM and MUSIC. Through correctly identifying and quantifying all components to their resolution limits and solving closely spaced frequencies, the proposed super-resolution MPM algorithm outperforms conventional approaches. ? 2021 IEEE.
Files in This Item
There are no files associated with this item.
Appears in
Collections
공과대학 > 전자공학과 > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Koh, Jin Hwan photo

Koh, Jin Hwan
공과대학 (전자공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE