Off-Grid Sparse Bayesian Inference with Biased Total Grids for Dense Time Delay Estimation-Reference-Cited by-同舟云学术

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Off-Grid Sparse Bayesian Inference with Biased Total Grids for Dense Time Delay Estimation

Published:2022-06-25 Issue: Volume: Page:
ISSN:1007-1172
Container-title:Journal of Shanghai Jiaotong University (Science)
language:en
Short-container-title:J. Shanghai Jiaotong Univ. (Sci.)

Author:

Wei Shuang,Li Wenyao,Su Ying,Liu Rui

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://link.springer.com/content/pdf/10.1007/s12204-022-2464-z.pdf

Reference28 articles.

1. PAN J J, LE BASTARD C, WANG Y D, et al. Time-delay estimation using ground-penetrating radar with a support vector regression-based linear prediction method [J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(5): 2833–2840.

2. THOMAS B, HUNTER A, DUGELAY S. Phase wrap error correction by random sample consensus with application to synthetic aperture sonar micronavigation [J]. IEEE Journal of Oceanic Engineering, 2021, 46(1): 221–235.

3. FATTAHI H, SIMONS M, AGRAM P. InSAR time-series estimation of the ionospheric phase delay: An extension of the split range-spectrum technique [J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(10): 5984–5996.

4. LAGUNA P, GARDE A, GIRALDO B F, et al. Eigenvalue-based time delay estimation of repetitive biomedical signals [J]. Digital Signal Processing, 2018, 75: 107–119.

5. GUO Y R, LIU Z J. Time-delay-estimation-liked detection algorithm for LoRa signals over multipath channels [J]. IEEE Wireless Communications Letters, 2020, 9(7): 1093–1096.

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