A Sparsity Based CFAR Algorithm for Dense Radar Targets-Reference-Cited by-同舟云学术

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A Sparsity Based CFAR Algorithm for Dense Radar Targets

Published:2020-09-21 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Radar Conference (RadarConf20)
language:
Short-container-title:

Author:

Chen Jingxuan,Zhou Shenghua,Varshney Pramod K.,Lu Jing,Zheng Jibin,Liu Hongwei,Su Hongtao

Funder

national Science Fund for Distinguished Young Scholars

Xidian University

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9266310/9266311/09266526.pdf?arnumber=9266526

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2. An improved CFAR algorithm for multiple environmental conditions;Signal, Image and Video Processing;2024-02-12

3. iDT: An Integration of Detection and Tracking Toward Low-Observable Multipedestrian for Urban Autonomous Driving;IEEE Transactions on Industrial Informatics;2023-09

4. DOA/RSS Joint Estimation Method Based on Iterative Maximally Sparse Convex Optimization;2023 International Conference on Microwave and Millimeter Wave Technology (ICMMT);2023-05-14

5. Compressed Sensing Radar Detectors Under the Row-Orthogonal Design Model: A Statistical Mechanics Perspective;IEEE Transactions on Signal Processing;2023

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