Air combat target threat assessment method on belief function theory

Situation estimation and threat assessment in air combat are crucial issues. Due to the limitations of the sensor’s precision, terrible battlefield environment and the deliberately interfere of the enemy, the information of threat assessment is often ambiguous and uncertain. Belief function theory has unique and significant advantages in uncertain information processing and fusion, so it is suitable for threat assessment. Our proposed approach handles information begins with feature extraction using fuzzy sets, then interspecific fusion and time domain fusion are carried out by belief function theory and evidence discount. Finally, the data is processed into a definite number to measure the threat index of the target. In the fusion process, evidence discount improves the quality and accuracy of convergence. The simulation example verifies that our proposed method is not only able to accurately analyze and convey the sensor information, but also has better real-time performance and the ability to process uncertain information.