目标检测非线性问题研究

在目标检测滤波算法中，量测向量与滤波中所使用的状态向量是一对非线性关系，由于非线性误差的传播与积累，极有可能导致滤波结果的发散。针对这一问题，本文提出将UT(Unscented Transformation)变换的思想引入到Singer模型中，在保证滤波精度的基础上，解决了非线性滤波中滤波结果发散的问题。

Nonlinear research questions maneuvering target tracking

In the target detection filtering algorithm,the measurement vector and the state vector used in the filter is a pair of nonlinear relations,due to the nonlinear error propagation and accumulation,it is very likely to result in the divergence of the filtering result.In order to solve this problem,this paper proposes to introduce the idea of UT(Transformation Unscented) transform into the Singer model,in order to ensure the accuracy of the filter,and solve the problem of the divergence of filtering results in nonlinear filtering.