Reduced-Complexity Subarray-Level Sparse Recovery STAP for Multichannel Airborne Radar WGMTI Application
Author:
Affiliation:
1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
2. School of Electronics and Communication Engineering, Sun Yat-sen University (SYSU), Guangzhou, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Aerospace Engineering
Link
http://xplorestaging.ieee.org/ielx7/7/7778228/10121594.pdf?arnumber=10121594
Reference54 articles.
1. A deterministic least-squares approach to space-time adaptive processing (STAP)
2. Subspace selection for partially adaptive sensor array processing
3. High Resolution Angle-Doppler Imaging for MTI Radar
4. A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications
5. A Target Detection Scheme With Decreased Complexity and Enhanced Performance for Range-Doppler FMCW Radar
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3. Joint Error Calibration-Based Angle Estimation Method for Multi-Channel WAS-GMTI;Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering;2023-10-20
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