雷达数据实时时间配准算法研究

Study on Radar data Real-time Registration Algorithm

针对雷达数据融合中观测数据时间不同步的问题,本文提出了Kalman滤波器算法与三点抛物线插值法相结合的时间配准方法,结合雷达数据处理的特点,利用方位维波门相关算法,减少无效的时间配准计算,并用仿真的方法验证其配准的有效性。

To the asynchronous problem of the observational data time in radar data fusion, a time registration method combining Kalman filter algorithm and 3-point parabola interpolation method is presented. The gate correlation algorithm in azimuth is used by integrating the feature of radar data processing to reduce inefficient time registration computation. The simulation results show its effectiveness of the registration.