基于TSSH-EKF的组网雷达误差配准算法

A Multi-Radar Error Registration Algorithm Based on TSSH-EKF

为提高组网雷达的探测精度,提出了一种双阶自适应扩展卡尔曼滤波误差配准算法。对扩维目标状态向量进行解耦,将Sage-Husa自适应滤波与解耦后双阶扩展卡尔曼滤波进行结合,并引入序贯思想,在进行无偏滤波的同时根据量测输出在线实时修正量测噪声,防止因量测噪声设置误差过大产生的滤波发散。仿真实验表明:与扩维误差配准算法相比,所提算法在大大降低计算量的同时,能够有效提高滤波的稳定性。

In order to improve the detection accuracy of the networked radar,a two-stage adaptive extended Kalman filter error registration algorithm was proposed.The two-stage idea was introduced into the dimensional expansion filter to decouple the state vector of the extended dimension,the Sage-Husa adaptive filtering was combined with the decoupled two-order extended Kalman filter,and the sequential idea was introduced.While performing the unbiased filtering,the measurement noise was corrected in real time according to the measurement output,and the filter divergence caused by the inaccuracy of the measurement noise was prevented.Through simulation,the proposed algorithm can effectively improve the stability of the filter while the calculation amount of the extended-dimensional error registration algorithm was greatly reduced.