摘要
仅有角度量测的被动式单传感器跟踪搜索系统有广泛的应用前景,但现有的针对性跟踪算法并不能很好的处理实际问题,失跟现象常常发生。本文对现有算法所存在的问题进行了深入研究,并提出了相应的改进算法。通过对机动目标运动分析,总结出角度向量在时间域中的变化规律,通过引入新的计算向量,对原算法残差计算进行了修正。它对基于单个被动传感器的纯方位跟踪问题的处理提供了新的思路。仿真实验及实际应用已证明了该算法有效性。
Although the single passive searching and tracking system with angle only measurement has wide application, but now the corresponding tracking algorithm cannot deal well with the actual problem, and tracking lost often happens. This paper proposes a modified algorithm based on studying deeply the present approach. By analyzing the movement of maneuvering targets, the changing rule of angle vectors is summarized in the time field, and then some new vectors are introduced to modify the former residual error. A new approach is proposed for bearing-only tracking of single passive sensor. Simulation results and engineering application demonstrate the validity of the new method.
出处
《光电工程》
EI
CAS
CSCD
北大核心
2006年第9期5-9,共5页
Opto-Electronic Engineering
基金
国家重点基础研究发展规划(973)项目(2001CB309403)
关键词
纯方位跟踪
被动式传感器
卡尔曼滤波
跟踪算法
Bearing-only tracking
Passive sensor
Kalman filtering
Tracking algorithm