摘要： 分析水下目标跟踪与浮标跟踪的特点和实现难度，提出一种水下目标跟踪系统模型。将被动时差定位的解算方程与水下目标的实际运动相结合，采用扩展卡尔曼滤波算法，分析水下目标的跟踪问题及其每一时刻的置信椭圆。仿真结果表明在较低的采样率下，滤波器仍可以收敛，证明该系统模型的可行性。

关键词: 水下目标跟踪, 被动, 浮标, 置信椭圆

Abstract: Underwater target and buoy tracking have their own characteristics and difficulties, this paper proposes a underwater target tracking system model. It combines the resolution equations of passive time difference of arrival location with actual movement of underwater target, uses the Extended Kalman Filter(EKF) algorithm, analyses tracking problem of underwater target and the confidence ellipse for every moment. Simulation results show that the filter still can converge at the lower sampling rate, it proves the feasibility of this system model.

Key words: underwater target tracking, passive, buoy, confidence ellipse

中图分类号: 

• N945.12