STAP Training Samples Selection Based on GIP and Volume Cross Correlation

Author:

Guo Qiang1,Liu Lichao1ORCID,Kaliuzhnyi Mykola1,Wang Yani1ORCID,Qi Liangang1ORCID

Affiliation:

1. College of Information and Communication Engineering, Harbin Engineering University, Harbin, China

Funder

National Major Research and Development Project of China

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robust Adaptive Radar Beamforming Based on Iterative Training Sample Selection Using Kurtosis of Generalized Inner Product Statistics;Journal of Systems Engineering and Electronics;2024-02

2. Sparse Reduced-dimension Clutter Suppression Method Based on Multi-domain Joint Processing;2024 4th International Conference on Neural Networks, Information and Communication (NNICE);2024-01-19

3. Clutter Covariance Matrix Estimation via KA-SADMM for STAP;IEEE Geoscience and Remote Sensing Letters;2024

4. Estimation of clutter covariance matrix in stap based on knowledge-aided and geometric methods;Physica Scripta;2023-11-23

5. A Modified STAP Algorithm for Ground–Based Radar;2023 Communication and Information Technologies (KIT);2023-10-11

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