为了提高目标跟踪的准确性和可靠性,采用纯角度跟踪模型和非线性预测滤波算法相结合的方法来确定跟踪目标的实时位置。通过仿真发现,在恰当的选取加权矩阵的前提下,可对模型误差进行实时估计,很好的预测出目标的实时位置,由此表明纯角度跟踪非线性预测滤波算法在目标跟踪应用中不但操作简单,且有很好的精确性和有效性。

In order to improve the accuracy and reliability of target tracking, the method of combining bearing-only tracking model with nonlinear predictive filtering algorithm was used to determine the real-time location of target. According to simulation, it is found that by this method, the model error can be estimated in real-time and the real-time position of the target can be predicted precisely with appropriate weighted matrix, which indicates that the bearing-only tracking nonlinear prediction filtering algorithm in target tracking applications not only simple for operation, but also has good accuracy and validity.