基于平方根双阶EKF的2D雷达与3D雷达误差配准方法

2D Radar and 3D Radar Error Registration Method Based on the Square Root Two-stage EKF

对不同体制雷达进行组网,能够有效发挥各型雷达性能优势,但组网过程中误差配准问题必须首先要解决,以此提高对目标航迹的探测与跟踪精度。联合扩维误差配准算法能够进行实时配准,但运算量问题限制了算法的效能发挥。论文在研究异维度雷达配准算法的基础上,提出了一种基于平方根的双阶EKF误差配准方法,并与传统的异维度雷达扩维配准方法进行对比分析。仿真结果表明,新算法消除了状态向量维数增加导致的运算效率降低的问题,且配准精度显著提高,配准效果比较理想。

Networking of different systems of radars can effectively give play to the performance advantages of various types of radars.However,the problem of error registration during the networking process must first be solved to improve the detection and tracking accuracy of the target track.The joint extended dimension error registration algorithm can perform real-time registration,but the computational complexity limits the effectiveness of the algorithm.Based on the research on the registration algorithm of different-dimensional radars,this paper proposes a two-stage extended Kalman filter error registration method based on square root,and compares and analyzes it with the traditional extended-dimensional radar registration method.The simulation results show that the new algorithm eliminates the problem of reduced computing efficiency caused by the increase of state vector dimension,and the registration accuracy is improved significantly,and the registration effect is ideal.