Doppler-bearing Passive Target Tracking Using a Parameterized Unscented Kalman Filter

被引：14
|
作者：
Rao, S. Koteswara [1 ]
机构：
[1] Naval Sci & Technol Lab, Simtrack Div, Visakhapatnam, Andhra Pradesh, India
来源：
IETE JOURNAL OF RESEARCH | 2010年 / 56卷 / 01期
关键词：
Kalman filter; Estimation theory; Sonar; Target tracking; MOTION ANALYSIS; ONLY TRACKING;
D O I：
10.4103/0377-2063.61267
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Target motion analysis (TMA) using conventional passive bearing together with frequency measurements is explored. This approach offers one tactical advantage over the classical bearings-only TMA. It makes the ownship maneuver superfluous. In this paper, TMA is carried out using an unscented Kalman filter (UKF). The inclusion of range, course, and speed parameterization is proposed in the UKF target state vector to obtain the convergence of the solution fast. Finally the results of one scenario in Monte-Carlo simulation are presented.
引用
收藏
页码：69 / 75
页数：7
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