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A Novel MIMO-SAR Echo Separation Solution for Reducing the System Complexity : Spectrum Preprocessing and Segment Synthesis

Wang, Yu ; Jin, Guodong ; Shi, Tianyue ; Yan, He ; Jakobsson, Andreas LU orcid ; Wang, Xudong ; Niu, Shilin ; Zhang, Hanqing ; Zhang, Xifeng and Wu, Di , et al. (2023) In IEEE Transactions on Geoscience and Remote Sensing 61.
Abstract

The problem of echo separation using digital beamforming (DBF) on receive for multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) is of notable importance to allow for practical systems. Regrettably, current DBF-MIMO-SAR schemes, such as the short-term shift-orthogonal (STSO) scheme, are computationally cumbersome, increasing the required hardware complexity. To alleviate this problem, we here propose an improved echo separation solution for realizing a low-cost MIMO-SAR system. We detail a generic waveform design scheme and optimized monostatic radar waveforms (e.g., nonlinear frequency modulation (NLFM) signal), showing how these can be directly adopted in the proposed scheme to improve imaging performance. The... (More)

The problem of echo separation using digital beamforming (DBF) on receive for multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) is of notable importance to allow for practical systems. Regrettably, current DBF-MIMO-SAR schemes, such as the short-term shift-orthogonal (STSO) scheme, are computationally cumbersome, increasing the required hardware complexity. To alleviate this problem, we here propose an improved echo separation solution for realizing a low-cost MIMO-SAR system. We detail a generic waveform design scheme and optimized monostatic radar waveforms (e.g., nonlinear frequency modulation (NLFM) signal), showing how these can be directly adopted in the proposed scheme to improve imaging performance. The proposed scheme enables the number of interference segments generated by unmatched waveforms to be halved by the use of the fast time spectrum preprocessing and segment synthesis, dramatically simplifying the array configuration, and reduces the system complexity. By exploiting interpulse phase coding techniques, the proposed method can provide a reconfigurable waveform transmitting scheme, allowing the system resources in range frequency, elevation space, and Doppler domains to be jointly exploited for the separation of aliased signal returns. The proposed scheme is evaluated using extensive numerical and measured datasets, demonstrating the feasibility and potential of the proposed method for resource-limited spaceborne/airborne MIMO-SAR systems.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Digital beamforming (DBF), interpulse phase coding, resource-limited multiple-input multiple-output (MIMO) synthetic aperture radar (SAR), segment synthesis, spectrum preprocessing
in
IEEE Transactions on Geoscience and Remote Sensing
volume
61
article number
5206517
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85153356114
ISSN
0196-2892
DOI
10.1109/TGRS.2023.3264704
language
English
LU publication?
yes
id
5b4cc30f-396c-4122-aa04-183fe618a204
date added to LUP
2023-07-14 11:37:36
date last changed
2023-11-22 20:02:18
@article{5b4cc30f-396c-4122-aa04-183fe618a204,
  abstract     = {{<p>The problem of echo separation using digital beamforming (DBF) on receive for multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) is of notable importance to allow for practical systems. Regrettably, current DBF-MIMO-SAR schemes, such as the short-term shift-orthogonal (STSO) scheme, are computationally cumbersome, increasing the required hardware complexity. To alleviate this problem, we here propose an improved echo separation solution for realizing a low-cost MIMO-SAR system. We detail a generic waveform design scheme and optimized monostatic radar waveforms (e.g., nonlinear frequency modulation (NLFM) signal), showing how these can be directly adopted in the proposed scheme to improve imaging performance. The proposed scheme enables the number of interference segments generated by unmatched waveforms to be halved by the use of the fast time spectrum preprocessing and segment synthesis, dramatically simplifying the array configuration, and reduces the system complexity. By exploiting interpulse phase coding techniques, the proposed method can provide a reconfigurable waveform transmitting scheme, allowing the system resources in range frequency, elevation space, and Doppler domains to be jointly exploited for the separation of aliased signal returns. The proposed scheme is evaluated using extensive numerical and measured datasets, demonstrating the feasibility and potential of the proposed method for resource-limited spaceborne/airborne MIMO-SAR systems.</p>}},
  author       = {{Wang, Yu and Jin, Guodong and Shi, Tianyue and Yan, He and Jakobsson, Andreas and Wang, Xudong and Niu, Shilin and Zhang, Hanqing and Zhang, Xifeng and Wu, Di and Zhu, Daiyin}},
  issn         = {{0196-2892}},
  keywords     = {{Digital beamforming (DBF); interpulse phase coding; resource-limited multiple-input multiple-output (MIMO) synthetic aperture radar (SAR); segment synthesis; spectrum preprocessing}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Geoscience and Remote Sensing}},
  title        = {{A Novel MIMO-SAR Echo Separation Solution for Reducing the System Complexity : Spectrum Preprocessing and Segment Synthesis}},
  url          = {{http://dx.doi.org/10.1109/TGRS.2023.3264704}},
  doi          = {{10.1109/TGRS.2023.3264704}},
  volume       = {{61}},
  year         = {{2023}},
}