基于并行Boosting算法的雷达目标跟踪检测系统设计

目前的雷达目标跟踪检测系统跟踪路线与实际路线相差较大，泛化误差率高。基于并行Boosting算法设计了一种新的雷达目标跟踪检测系统，硬件内部引入数据多处理器，对收集的雷达位置数据集中处理，连接I/O接口，配置数据过滤器，将雷达位置信息数据的状态参数录入过滤器元件中。在软件部分，利用并行Boosting算法的内部学习融合方式调节不同的雷达目标追踪系统状态，通过信息处理、航迹分析、落脚点判断来整合相应的跟踪检测信息，构建检验方程式防止外来无关数据的侵扰，最终得到雷达目标跟踪数据操作状态，完成目标跟踪检测。实验结果表明，基于并行Boosting算法的雷达目标跟踪检测系统设定的检测路线与实际路线吻合度高达99.21%，泛化误差远远低于传统目标跟踪检测系统，实用性更强。

Design of Radar Target Tracking Detection System Based on Parallel Boosting Algorithm

The current radar target tracking detection system has a large difference between the tracking route and the actual route, and the generalization error rate is high. Based on the parallel Boosting algorithm, a new radar target tracking and detection system is designed. The data multiprocessor is introduced in the hardware to process the collected radar position data centrally, connect the I/O interface, configure the data filter, and convert the radar position information data. The state parameters are entered into the filter element. In the software part, the internal learning fusion method of the parallel Boosting algorithm is used to adjust the status of different radar target tracking systems, and the corresponding tracking detection information is integrated through information processing, track analysis, and landing point judgment, and a test equation is constructed to prevent the intrusion of extraneous extraneous data. Finally, the operation status of radar target tracking data is obtained, and target tracking detection is completed. The experimental results show that the detection route set by the radar target tracking and detection system based on the parallel boosting algorithm matches the actual route up to 99.21%, the generalization error is far lower than the traditional target tracking and detection system, and the practicability is stronger.