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.
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