Target Threat Assessment Method based on RCS Feature Classifier and TOPSIS

Target threat assessment involves many uncertainties and is a tactical decision assessment problem with incomplete and uncertain information. In traditional target threat assessment, only the influence of the target's state attributes on its threat level is considered, while the target's type is ignored. To address this issue, radar target recognition is incorporated into the threat assessment process, and a method based on radar target recognition is proposed to improve the accuracy of threat assessment by incorporating Radar Cross Section (RCS) feature classifier into a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Using simulations, the practicability and viability of the above method are examined.