Radar Signal Detection Method Based on Multi-Features Fusion

Sea-going detection is often interfered by the sea clutter. Improving detection performance in complex sea conditions is one of the hot research topics. Many existing detection methods are single-feature-based detection methods. However, a single feature does not adequately describe the nature of signal. In this paper, the features that can describe the nature of sea clutter are selected from a large number of features, and then a multi-attribute decision making method based on evidence theory is used for the fusion decision. Experiments show that the evidence theory-based multi-attribute decision method performed better for the complex sea surface target detection problem on the given datasets.