Long Coherent Integration in Passive Radar Systems Using Super-Resolution Sparse Bayesian Learning-Reference-Cited by-同舟云学术

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Long Coherent Integration in Passive Radar Systems Using Super-Resolution Sparse Bayesian Learning

Published:2021-02 Issue:1 Volume:57 Page:554-572
ISSN:0018-9251
Container-title:IEEE Transactions on Aerospace and Electronic Systems
language:
Short-container-title:IEEE Trans. Aerosp. Electron. Syst.

Author:

Filip-Dhaubhadel Alexandra^ORCID,Shutin Dmitriy^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Link

http://xplorestaging.ieee.org/ielx7/7/9350368/09206073.pdf?arnumber=9206073

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Masking Effect Mitigation for FM-Based Passive Radar via Nonlinear Sparse Recovery;IEEE Transactions on Aerospace and Electronic Systems;2023-12

2. GNSS-Based Non-Cooperative Air Traffic Situational Awareness;2023 IEEE International Radar Conference (RADAR);2023-11-06

3. Super-Resolution Time Delay Estimation of OFDM Passive Radar Based on Fully Convolutional Networks;IEEE Sensors Journal;2023-11-01

4. Coarse-fine joint target parameter estimation method based on AN-RSC in OFDM passive radar;Journal of Systems Engineering and Electronics;2023

5. A Baseband MLE for Snapshot GNSS Receiver Using Super-Long-Coherent Correlation in a Fractional Fourier Domain;NAVIGATION: Journal of the Institute of Navigation;2023

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