Double Threshold Range Spread Target Detection Based on Scattering Point Estimation in Radar Systems

In this paper, a double threshold constant false alarm detection method based on estimated scattering point information is proposed to solve the problem of range spread target detection under unknown scattering point information. First, the k-nearest neighbor classification (KNN) algorithm is used to classify the area to be detected and calculate the first threshold. Then the second threshold is calculated based on the constant false alarm rate, and the second thresholds are used to determine whether the target is present. The simulation results show that this method uses echo information to estimate target scattering points to solve the problem of range spread target detection without any priori information, and has high detection accuracy and robustness.