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Land-sea Separation and Sea Surface Zoning Algorithms for Sea Surface Target
DOI: 10.12000/JR19036
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Abstract
Adaptive detection can effectively improve the detection performance of marine surveillance radars; however, the islands or lands introduce discrete or flaky strong clutter, which may result in wrong covariance matrix estimation. Meanwhile, the complexity of the sea clutter complicates the use of a single model to describe the whole sea clutter. To solve the problem of serious degradation of clutter suppression performance when non-uniform samples participate in covariance matrix estimation and inaccuracy of sea clutter modeling, a land-sea separation and sea surface zoning algorithms are proposed for sea surface target detection. First, the land clutter and sea clutter are distinguished according to the characteristics that the phases of land echo sequences are strongly correlated while the phases of ocean echo sequences are random. Second, the sea surface is zoned according to the rubbing angle; further, the optimal distribution suited for each sea clutter zone is fitted and the appropriate adaptive detection method is selected according to the clutter distribution. Finally, the proposed algorithm is validated based on the measured data of an S-band radar. The results show that the proposed algorithm can effectively improve the detection performance of sea surface targets compared with the traditional detection algorithm. -
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References
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- Figure 1. Adaptive detection process
- Figure 2. Flow chart of this paper algorithm
- Figure 3. Fitting result of radar data
- Figure 4. Radar position diagram
- Figure 5. Land-sea separation result based on the correlation of phases
- Figure 6. Sea surface zoning result according to the rubbing angle
- Figure 7. Detection performance of targets on sea surface