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A Novel MIMO-SAR Echo Separation Solution for Reducing the System Complexity: Spectrum Preprocessing and Segment Synthesis
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DOI：10.1109/TGRS.2023.3264704.png)
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Abstract
En 中文
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.
Keywords:
Synthetic aperture radar
Time-frequency analysis
Array signal processing
Radar
MIMO communication
Imaging
Encoding
Digital beamforming (DBF)
interpulse phase coding
resource-limited multiple-input multiple-output (MIMO) synthetic aperture radar (SAR)
segment synthesis
spectrum preprocessing
Journal
IF:
8.6
Papers:
2.1W
Citations:
10.7W