Target Maneuver Detection Method Based on Likelihood Ratio Test

Aiming at the target maneuver detection in antagonistic process, a detection method is proposed based on likelihood ratio test. Based on the target real time observation data, the target detection problem is translated into the problem of time series data validation. Firstly, the maximum likelihood principle is applied to target regression state estimation. Then, the detection model is designed based on the principle of likelihood ratio detection, and the target maneuver detection method is constructed. Simulation result shows the improved misdetection and detection delay performance of the proposed method in the interference environment.