研究目的
To solve the design dilemma between azimuth high resolution and wide swath (HRWS) in ground moving target detection and imaging using synthetic aperture radar (SAR) by introducing a virtual multichannel (VMC) scheme.
研究成果
The VMC scheme effectively addresses the HRWS imaging and GMTI for SAR by leveraging virtual channels to improve swath width and target detection performance. The VMC-CSI method integrates detection, location, velocity estimation, and imaging for ground moving targets, demonstrating robustness and accuracy in parameter estimation despite the challenges of false peaks and clutter suppression.
研究不足
The VMC-CSI method requires uniform sample distribution in each virtual channel, which is only achieved under specific conditions. Non-optimum PRF leads to nonuniform sample spacing. Additionally, the problem of radial velocity ambiguity persists when the Doppler shift exceeds half of the virtual PRF.
1:Experimental Design and Method Selection
The study introduces a virtual multichannel (VMC) scheme for SAR to achieve ground moving target detection and imaging in HRWS mode. The methodology includes the development of a signal model for moving targets in virtual channels and the analysis of the false-peak effect in azimuthal images.
2:Sample Selection and Data Sources
Numerical simulations are conducted using parameters from an airborne SAR system and a spaceborne SAR system to validate the proposed VMC scheme and the VMC-CSI method.
3:List of Experimental Equipment and Materials
The study utilizes synthetic aperture radar systems with specific configurations for airborne and spaceborne scenarios, including parameters like velocity, slant range, operation frequency, and array configurations.
4:Experimental Procedures and Operational Workflow
The procedure involves generating virtual channels, suppressing ground clutter, estimating target parameters (location, velocity), and imaging moving targets using the VMC-CSI method.
5:Data Analysis Methods
The analysis includes evaluating the effect of false peaks, the performance of clutter suppression, and the accuracy of parameter estimation through numerical simulations.
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