Elevation-Interpulse Phase-Coded Waveform: A Novel Radar Waveform for Spaceborne MIMO-SAR
The primary technical challenge for multi-input multi-output synthetic aperture radar (MIMO-SAR) systems is separating independent channel responses from aliased echoes while maintaining imaging performance. However, the most promising short-term shift-orthogonal (STSO) and segmented-phase-code (SPC) waveform require the use of elevation digital beamforming (DBF) to achieve echo separation. The cost of using elevation DBF for echo separation is the loss of elevation degrees of freedom and a significant increase in system complexity. To solve this problem, this paper proposes a novel coded waveform that introduces phase characteristics for echo separation through two-dimensional phase encoding of the transmitted waveform in both elevation and inter-pulse (azimuth) direction. In this scheme, azimuth DBF is used in the Doppler frequency domain to suppress interference signals, while elevation phase demodulation is employed to separate the echoes. This scheme eliminates the dependence of MIMO-SAR on waveform orthogonality and allows the direct use of a large number of single-station waveforms, providing flexibility in waveform selection. Additionally, retaining more degrees of freedom enables the multi-modal operation of MIMO-SAR. Finally, detailed simulation experiments are performed to verify the potential of the proposed scheme, and advantages and contributions are systematically analyzed.
Authors
- R. Liu (ORCID: https://orcid.org/0009-0001-5230-4909)
- Wei Wang (ORCID: https://orcid.org/0000-0003-4251-3464)
- Wen-Xi Peng (ORCID: https://orcid.org/0000-0002-7453-9709)
- Zixuan Zhang (ORCID: https://orcid.org/0000-0002-1782-4108)
- Zhichao Wang
- Pei Wang (ORCID: https://orcid.org/0000-0003-2714-8016)
- Yihai Wei (ORCID: https://orcid.org/0009-0005-5482-4130)
- Yongwei Zhang (ORCID: https://orcid.org/0000-0002-1902-1501)
- Yunkai Deng
- Yang Liu (ORCID: https://orcid.org/0009-0005-0749-3826)
Institutions
- Chinese Academy of Sciences (CN)
- Aerospace Information Research Institute (CN)
Publication Details
- Journal
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tgrs.2025.3574534
- Citations
- 1
- Primary Topic
- Advanced SAR Imaging Techniques
- Type
- article
- Field-Weighted Citation Impact
- 4.99