中文摘要：

研究高精度雷达数据采样问题。雷达数据采样时要求数据的准确性。传统雷达数据采用是基于等间隔时间采样的,具有精度低、误差大的缺陷,无法满足高精度定位的需求。针对上述问题,提出一种采用不等间隔时间采样的高精度雷达数据仿真方法。通过为飞行器建立基本的运动模型,采用分段组合的方法生成目标运动轨迹。在此基础上结合雷达的扫描体制与目标的运动特性,采用迭代法实现了对目标运动轨迹进行精确采样。实验结果表明,改进方法能够生成连续、光滑的目标运动轨迹,生成具有精确位置信息的仿真雷达数据,可用于多雷达航迹融合等对仿真雷达数据精度要求较高的场合。

英文摘要：

High precision and small error are required in PSR data sampling. The conventional PSR trajectory simulate method creates data with fixed cycle which has low precision, large errors and other defects. To solve this problem, several basic mathematics motion models are established by studying the motion characteristics of aircraft, and these methods are combined with generate continuous and smooth target trajectory. Based on PSR operating prin- ciple and target motion characteristics, the iterative algorithm is used to generate PSR data with precise position. Ex- perimental results indicate that this method can produce high precision PSR trajectory, which can be used for radar data processing and multiple radar trajectory fusion and other research.