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Focusing SAS Nonuiniform Data Based on Chirp Scaling Algorithm
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DOI：10.1016/j.jfranklin.2026.108666.png)
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Abstract
En 中文
Up till now, many receivers are used by current synthetic aperture sonar (SAS) system to strengthen the mapping efficiency. However, the complicated configuration strictly limits the SAS moving distance within each transmitted pulse, and the moving distance should be exactly the half length of receiver array. Actually, the moving distance of SAS carrier cannot be always the half length of receiver array due to the ocean influence, and the nonuniform data would be caused in the cross-range dimension. The matrix inversion (MI) method is widely applied to recover the uniform signal in the cross-range direction. However, the MI method requires the full-rank transfer function matrix. That is to say, the receivers between two adjacent pulses are not allowed to be overlapped. This requirement cannot be always satisfied, and the processing quality of MI method would be seriously lowered. We provide a solution to deal with this challenge. In terms of our approach, we primarily select the receivers which would be exploited by the following focusing processors. Preprocessing selected receiver signal in the 2D frequency domain and storing the receiver signal in sequence in the time domain of cross-range dimension would generate the monostatic datasets, which are processed by the chirp scaling (CS) method. In comparison with the MI approach, the suggested approach possesses much better focusing quality. The results based on computer experiment and lake experiment confirm the high performance of our approach.
Keywords:
Synthetic Aperture Sonar
Nonuniform Data
Chirp Scaling Algorithm
Matrix Inversion Method
Signal Processing
Journal
J
IF:
4.2
Papers:
822
Citations:
0
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