FOC-Based Gridless Harmonic Retrieval Joint MM-Estimation: DOA Estimation for FMCW Radar Against Unknown Colored Clutter-Noise-Reference-Cited by-同舟云学术

FOC-Based Gridless Harmonic Retrieval Joint MM-Estimation: DOA Estimation for FMCW Radar Against Unknown Colored Clutter-Noise

Published:2022-03-15 Issue:6 Volume:22 Page:5879-5888
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Mao Yuqian¹^ORCID,Zhang Gong¹^ORCID,Qi Changyun¹,Yang Xueling²,Xiong Wei³

Affiliation:

1. Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Nanjing Marine Radar Institute, Nanjing, China

3. Leihua Electronic Technology Research Institute, Aviation Industry Corporation of China, Wuxi, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central University

Open Research Fund of State Key Laboratory of Space-Ground Integrated Information Technology

Open Research Fund of the Key Laboratory of Radar Imaging and Microwave Photonics (Nanjing University of Aeronautics and Astronautics), Ministry of Education

Aeronautical Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9733818/09703288.pdf?arnumber=9703288

Reference63 articles.

1. Generation of coherent lognormal clutter with specified power spectrum using ZMNL transform

2. Harmonic Retrieval Joint Multiple Regression: Robust DOA Estimation for FMCW Radar in the Presence of Unknown Spatially Colored Noise

3. Applications of cumulants to array processing. II. Non-Gaussian noise suppression

4. DOA Estimation for Coherent Signals With Improved Sparse Representation in the Presence of Unknown Spatially Correlated Gaussian Noise

5. Real‐valued off‐grid DOA estimation via iterative optimisation based on covariance differencing method with spatial coloured noise

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