文中将修正的输入估计算法和伪线性滤波算法相结合,提出了一种对机动目标进行自适应纯方位跟踪的新算法,该算法将未知的输入向量作为新的元素补充到原来的目标状态向量中得到新的扩维状态向量,然后在只有角度测量数据的情况下利用伪线性滤波算法对原来的目标状态向量和新增的目标加速度向量同时进行估计。仿真结果表明,该算法可适应目标机动和非机动两种工作模式,能够实现对机动目标的自适应纯方位跟踪。

Tracking a maneuvering target by angle-only measurement was studied, and a new method was proposed in this paper. The proposed method is a pseudo linear filter-based tracking scheme with the modified input estimation approach. The proposed model is a special augmentation in the state space model in which both the state vector and the unknown input vector as a new augmented state vector were considered. In the proposed scheme, the original state and acceleration vectors were estimated simultaneously with a pseudo linear filter using bearing-only measurement. The simulation results show that the proposed tracking algorithm works in both the non-maneuvering and the maneuvering modes, and the maneuvering target can be tracked by this method with bearing-only measurement.