Adaptive mainlobe jamming suppression based on sparse reconstruction
Adaptive mainlobe jamming suppression based on sparse reconstruction
- Author(s): Y. Cheng 1, 2 ; J. Zhang 1, 2 ; D. Zhu 1, 2
- DOI: 10.1049/icp.2021.0582
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- Author(s): Y. Cheng 1, 2 ; J. Zhang 1, 2 ; D. Zhu 1, 2
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View affiliations
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Affiliations:
1:
Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education ;
2: College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics , Nanjing 210016 , People's Republic of China
Source:
IET International Radar Conference (IET IRC 2020),
2021
p.
1362 – 1367
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Affiliations:
1:
Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education ;
- Conference: IET International Radar Conference (IET IRC 2020)
- DOI: 10.1049/icp.2021.0582
- ISBN: 978-1-83953-540-6
- Location: Online Conference
- Conference date: 04-06 November 2020
- Format: PDF
In the complex jamming environment, the mainlobe jamming will extremely reduce the detection capabilities of radar. In this paper, an adaptive mainlobe jamming suppression based on sparse reconstruction is proposed. The steering vectors are estimated by using the maximize (MSNR) criterion. Besides, the oblique projection with ℓ 1-norm singular value decomposition (OP-ℓ 1-SVD) is performed to adaptively suppress the mainlobe jamming and DOAs estimation of the target with high precision. The demonstrate the proposed method which is based on a practically uniform linear array (ULA) model can resist at least two mainlobe jammings.
Inspec keywords: direction-of-arrival estimation; signal reconstruction; radar detection; array signal processing; singular value decomposition; jamming
Subjects: Radar equipment, systems and applications; Radar theory; Signal detection; Algebra; Electromagnetic compatibility and interference