摘要
本文提出了一种直接把红外前视传感器的输出作为测量值来跟踪红外目标的扩展型卡尔曼滤波跟踪算法。在滤波处理时,设置可变的测量矩阵,其目的在于提高运算速度和抑制噪声干扰。通过具体的实例,对所提跟踪算法的特点和有效性进行了细致的分析。
This paper presents an extended kalman filtering algorithm for tracking infrared target, using the outputs from a forward-looking infrared (FLIR) sensor as measuring value. Variable size of measurement matrix is set up to increase operation velocity and attenuate noise in processing. A design example of tracking algorithm is presented. Simulation results and the effectiveness of our approach are discussed in detail.
出处
《红外技术》
CSCD
1993年第3期7-10,共4页
Infrared Technology
关键词
目标跟踪
卡尔曼滤波
跟踪算法
Target tracking
Kalman filtering
Tracking algorithm
