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 , . |
|