摘要
以无源声纳关于目标方位(包括方位角、高低角)的有噪测量为依据,探讨了水下三维无源TMA(目标运动分析)的实现及精度问题。文中应用伪线性——Kalman滤波结合方法、最大似然估计方法、扩展卡尔曼滤波方法(EKF),对三维情况[4] 下已知固定深度的的TMA问题进行了研究,并结合数据批处理手段,有效地改善了参数估计的性能,且给出了它们的CRB界。计算机仿真证明了上述算法的有效性。本文所提出的方法要求简单,精度较高,简易平台即可实现,具有一定的实际意义。
The problem of underwater passive TMA in the case of three dimensions, which uses the measurement of passive bearings-elevation, is discussed in this paper. The parameters estimations are gained using the method of PLE-Kalman, MLE and EKF in constant known depth in three dimensions. Then CRB (Cramer-Rao lower bound) is given in this paper. Finally simulations illustrate the efficiency of TMA proposed here. The TMA method can become true in practice.
出处
《系统仿真学报》
CAS
CSCD
2003年第6期776-779,共4页
Journal of System Simulation
