Sparsity‐based STAP algorithm with multiple measurement vectors via sparse Bayesian learning strategy for airborne radar
Author:
Affiliation:
1. Key Research LaboratoryWuhan Early Warning AcademyWuhanPeople's Republic of China
2. College of Electronic Science and EngineeringNational University of Defense TechnologyChangshaPeople's Republic of China
Funder
China Postdoctoral Science Foundation
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2016.0183
Reference31 articles.
1. Theory of Adaptive Radar
2. Ward J.: ‘Space–time adaptive processing for airborne radar’. Technical Report 1015 MIT Lincoln Laboratory Lexington MA December1994
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4. A deterministic least-squares approach to space-time adaptive processing (STAP)
5. Space-time autoregressive filtering for matched subspace STAP
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