关键词: 弹道导弹, 目标识别, 航迹残差, 滑窗投票法

Abstract:

To address the issues of ballistic missile target recognition methods being susceptible to interference from decoy characteristics, as well as significant fluctuations in single decision results and insufficient real-time performance, a ballistic missile target recognition technology based on trajectory residuals is proposed. Firstly, a kinematic model is established for ballistic targets, and radar echo signals are simulated. Subsequently, the echo signals undergo constant false alarm rate processing, clustering processing, filtering tracking processing, and trajectory residual features are extracted. Finally, threshold single decision is performed on the residual features, and a sliding window voting method is adopted for temporal sequential fusion, thereby achieving target recognition. Experimental results demonstrate that this method can effectively distinguish between warheads and decoy clusters, and the recognition processing method for residual features is relatively robust, with good accuracy and real-time performance. This study provides insights for ballistic missile defense systems.

Key words: ballistic missile, target recognition, track residual, sliding window voting