研究目的
To propose a phase retrieval (PR) based SAR reconstruction autofocus algorithm for achieving reliable persistent surveillance change detection (CD) by mitigating random phase noises.
研究成果
The proposed PR-based SAR reconstruction autofocus algorithm effectively mitigates phase noises and achieves superior change detection performance for persistent area surveillance, as verified by experimental results.
研究不足
The study assumes the minimum phase property for the SAR reflectivity, which may not always hold in real-world scenarios. The effectiveness of the proposed method is demonstrated under specific conditions of phase noise and SNR.
1：Experimental Design and Method Selection:
The study reformulates the original non-convex quartic SAR reconstruction as a convex quadratic program and utilizes the CoRK algorithm for optimal SAR reflectivity retrieval.
2：Sample Selection and Data Sources:
Uses data collected with an X-band radar interrogating a parking lot.
3：List of Experimental Equipment and Materials:
X-band radar for data collection.
4：Experimental Procedures and Operational Workflow:
Involves reformulating the SAR reconstruction problem, applying the CoRK algorithm, and comparing results with benchmark methods.
5：Data Analysis Methods:
Performance is measured in terms of reconstruction mean square errors (RMSE) and target-to-background ratio (TBR).
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