Research Article
Adaptive Clustering-Based Marine Radar Sea Clutter Normalization
| Inputs: one-dimensional sea clutter amplitude data in a certain direction. | | For each bin do | | Initialize the clustering centers by and ; | | Iterations , ; denotes proportional factor; | | While and do | | For each sample compute Manhattan distance with clustering center | | ; | | If | | Then and update classification results ; | | End for | | Update clustering centers respectively: | | , | | for divide protection, explicitly denotes the element-wise multiplication; | | ; | | End while | | Integrate classification results and clustering centers , in , , and , respectively. | | End for | | Outputs: classification results and clustering centers , . |
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