摘要
米波波段雷达,譬如超视距雷达,面临空间复杂的电磁环境,低检测概率、低数据率、低观测精度与多虚警等问题。由于空间的限制,米波雷达不能安装较多天线阵子,因此DBF所形成的波束宽度可能达到十几度到几十度,测角精度很差。对于这种条件下的跟踪,多假设算法是比较适合的。在应用MHT方法的前提下,对不同的滤波器进行仿真,结果表明,用线性补偿滤波器(LCKF)的多假设算法具有较好的性能。
Metter Wave Radar, taking Over-The-Horizon Radar for example, faces with a serious challenges of the complex elec- tromagnetism, low-resolution, low-data-rate, low measurement accuracy and high false alarm ratio. Due to space limitations, Meter Wave Radar can not install more antenna unit, so beam width is ten or more degree by DBF. Angle-measurement is very poor. For this kind of target-tracking, MHT method is suitable for complex environment. On the premise of MHT method, different Kalman filters are simulated in this paper. The results show that the MHT method with LCKF is good for target tracking.
出处
《计算机工程与应用》
CSCD
2013年第15期229-233,共5页
Computer Engineering and Applications
关键词
多目标跟踪
自适应卡尔曼滤波器
数据关联
多假设
multi-target tracking
adapting Kalman filter
data association
multiple hypothesis tracking
