Inverse Synthetic Aperture Radar Imaging with Non-Coherent Short Pulse Radar and Its Sparse Recovery

Haibo WANG; Wenhua HUANG; Tao BA; Yue JIANG

doi:10.11999/JEIT180912

Volume 41 Issue 11

Nov. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(11): 2646-2653

Haibo WANG, Wenhua HUANG, Tao BA, Yue JIANG. Inverse Synthetic Aperture Radar Imaging with Non-Coherent Short Pulse Radar and Its Sparse Recovery[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2646-2653. doi: 10.11999/JEIT180912

Citation:

Haibo WANG, Wenhua HUANG, Tao BA, Yue JIANG. Inverse Synthetic Aperture Radar Imaging with Non-Coherent Short Pulse Radar and Its Sparse Recovery[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2646-2653. doi: 10.11999/JEIT180912

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Inverse Synthetic Aperture Radar Imaging with Non-Coherent Short Pulse Radar and Its Sparse Recovery

doi: 10.11999/JEIT180912

Science and Technology on High Power Microwave Laboratory, Northwest Institute of Nuclear Technology, Xi’an 710024, China

Received Date: 2018-09-21
Rev Recd Date: 2019-01-12

Available Online: 2019-05-20

Publish Date: 2019-11-01

Abstract

Abstract

The microwave source of Non-Coherent Short Pulse (NCSP) radar transmits short pulse. Thus, for high velocity targets, the motion effect in the pulse duration can be neglected, and the echo signal does not need special motion compensation. In order to use the NCSP radar signal for Inverse Synthetic Aperture Radar (ISAR) imaging, the compensation coherent processing method is applied to removing the uncertainty of the envelope time and the initial phase uncertainty. Assuming that the echo is envelope-aligned and initially compensated by conventional methods, ISAR radar imaging can be performed using the Range-Doppler (RD) method, subsequently. The simulation verifies the feasibility of the compensation signal ISAR imaging. However, the carrier-frequency random jitter factor of NCSP radar causes random-modulated sidelobes in the Doppler dimension, which affect imaging quality. In this paper, the sparse recovery technique is used to perform sparse reconstruction of the target scattering center in the imaging space. The Orthogonal Matching Pursuit (OMP) algorithm and the Sparse Bayesian Learning (SBL) algorithm are used as the recovery algorithm for imaging simulation experiments. The simulation results show that the sparse recovery technique can suppress the imaging sidelobes caused by non-coherence and improve the imaging quality.
- Non-Coherent Short Pulse (NCSP) radar,
- Inverse Synthetic Aperture radar (ISAR),
- Sparse recovery

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References(32)

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