Incompletely Polarized MIMO Radar for Target Direction Estimation-Reference-Cited by-同舟云学术

Incompletely Polarized MIMO Radar for Target Direction Estimation

Published:2023 Issue: Volume:1 Page:532-541
ISSN:2832-7357
Container-title:IEEE Transactions on Radar Systems
language:
Short-container-title:Trans. Rad. Sys.

Author:

Shu Ting¹^ORCID,He Jin¹^ORCID,Wen Fangqing²^ORCID,Truong Trieu-Kien¹^ORCID

Affiliation:

1. Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

2. Institute of Vehicle Information Control and Network Technology, Hubei University of Automotive Technology, Shiyan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9931145/10012287/10258352.pdf?arnumber=10258352

Reference43 articles.

1. Fast method for multi-target localisation in bistatic MIMO radar

2. 2D-DOD and 2D-DOA Estimation Using Sparse L-Shaped EMVS-MIMO Radar

3. Angle estimation using ESPRIT without pairing in MIMO radar

4. 2D-DOD and 2D-DOA estimation using the electromagnetic vector sensors

5. Off-Grid DOA Estimation Using Sparse Bayesian Learning in MIMO Radar With Unknown Mutual Coupling

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