基于无偏转换的雷达配准算法

在多雷达数据处理系统中,雷达本身的系统偏差是影响目标跟踪和数据融合质量的一个重要因素.为了使融合结果更加准确可靠,本文提出了基于无偏转换的雷达配准算法.该算法是通过无偏转换把其它雷达的测量转换到主雷达下,利用各雷达相对主雷达的测量差值,采用Kalman滤波器实时估计出各雷达的系统偏差(方位和距离),从而进行配准.仿真实验结果表明这种算法是有效的.

The Algorithm of Radar Registration Based on Unbiased Transformation

In the multi-radar data processing system, system bias of radar is an important factor to influence the quality of data fusion and target tracking. For the fusion results optimization, a radar registration algorithm based on unbiased transformation is presented in this paper. The measurements of other radars are transferred to that of the primary radar through unbiased transformation in the algorithm. With the measuring differences between the radars and the primary radar, the Kalman filter is used to estimate the real-time system bias of the each radar for registration. The simulation results have shown that the algorithm is effective.