摘要
设计了一种新型的水下被动目标运动分析系统,以测得的方位序列和到达不同传感器的时间延迟为基础,建立了状态方程和观测方程。利用非线性系统的可观测性定理分析了该系统,得出了基于方位时延量测水下被动TMA系统的可观测性结论并分析了可观测度。运用扩展卡尔曼滤波算法,对被动定位性能进行了分析。通过计算机仿真实验,验证了得到的可观测性结论。仿真结果同时也表明,该水下被动TMA系统具有收敛速度快、精度高、稳定性好等优点,有着良好的应用前景。
A new underwater system of passive target motion analysis （TMA） is designed based on bearing and time delay measurements obtained at two different sensors. The state equation and measurement equation are established and analyzed with the observability theorem of nonlinear systems. It is shown that position and speed can be determined and the degree of observability is analyzed. Performance of passive location is analyzed with extended Kalman filter （EKF）. Numerical simulation verifies the observability, and shows that the algorithm has fast convergence, high precision and stability. The algorithm has a good application prospect.
出处
《声学技术》
CSCD
北大核心
2007年第3期371-375,共5页
Technical Acoustics
基金
国防"十五"预研项目(413040201)。
作者简介
通信作者刘健（1974-），男，四川人，博士，工程师，研究方向为目标定位与跟踪、分布交互仿真，E-mail：liujian1974@hotmail．com
