A deep-learning-based time of arrival estimation using kernel sparse encoding scheme-Reference-Cited by-同舟云学术

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A deep-learning-based time of arrival estimation using kernel sparse encoding scheme

Published:2023-08 Issue: Volume:209 Page:109047
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Wei Shuang^ORCID,Pan Heng^ORCID,He Di^ORCID,Tian Longwei^ORCID

Funder

National Natural Science Foundation of China

Shanghai Key Laboratory of Navigation and Location Based Services

Natural Science Foundation of Shanghai

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference22 articles.

1. Time delay estimation for passive sonar signal processing;Carter;IEEE Trans. Acoust. Speech Signal Process.,1981

2. Deep sea TDOA localization method based on improved OMP algorithm;Jiang;IEEE Access,2019

3. Vehicular position tracking using LTE signals;Driusso;IEEE Trans. Veh. Technol.,2017

4. Joint DFT-ESPRIT estimation for TOA and DOA in vehicle FMCW radars;Kim;IEEE Antennas Wirel. Propag. Lett.,2015

5. A fast time-delay estimator of PN signals;Benedetto;IEEE Trans. Commun.,2011

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