A Novel Orthogonal Waveform Separation Scheme for Airborne MIMO-SAR Systems.

Area of Science:

• Radar Systems Engineering
• Signal Processing
• Remote Sensing Technology

Background:

• Multi-input multi-output synthetic aperture radar (MIMO-SAR) systems offer enhanced capabilities for 3D imaging, high-resolution wide-swath remote sensing, and multi-baseline interferometry.
• A significant limitation in MIMO-SAR research is the imperfect separation of superimposed orthogonal waveforms, leading to ambiguous energy and degraded SAR images.

Purpose of the Study:

• To propose a novel orthogonal waveform separation scheme for airborne MIMO-SAR systems.
• To address the challenge of imperfect waveform separation that degrades SAR image quality.

Main Methods:

• A new echo-compression scheme is introduced for airborne MIMO-SAR.
• Transmitters additionally radiate waveforms alone to sense inner-aperture channels.
• Waveform separation is achieved by concentrating energy of solely radiated waveforms and cancelling peaks.
• Unambiguous echoes are reconstructed using cleaned and original superposed echoes.

Main Results:

• The proposed scheme effectively separates superimposed orthogonal waveforms in MIMO-SAR systems.
• Waveform separation by peak cancellation concentrates energy from solely radiated signals.
• Reconstruction of unambiguous echoes is demonstrated.

Conclusions:

• The developed echo-compression scheme significantly improves waveform separation in MIMO-SAR.
• This method enhances the quality of SAR images by mitigating ambiguous energy.
• The proposed technique offers a viable solution for advancing MIMO-SAR system performance.