一种高精度机载GMTI雷达数据滤波方法  

An Effect Filtering Algorithm for Airborne GMTI Radar

作　　者：刘军伟[1] 钮俊清[1] 任清安[1] 王志红[1] 

机构地区：[1]中国电子科技集团公司第三十八研究所,安徽合肥230088

出　　处：《雷达科学与技术》2011年第5期437-440,452,共5页Radar Science and Technology

摘　　要：针对机载GMTI雷达地面机动慢速多目标跟踪难题,提出了一种新颖的高精度机载GMTI雷达数据滤波跟踪方法。针对机载GMTI相控阵雷达的特点,引入一种新的机载GMTI雷达量测模型,采用Doppler伪量测形式减弱Doppler量测与目标状态之间的强非线性关系,并进行了量测误差转换;通过论述发现,采用运算速度较快的UKF滤波器进行非线性滤波估计,可以有效地降低由机体坐标系到地面站惯性坐标系的复杂变换引起的估计误差放大。实验证明,该方法可以有效地提高地面机动多目标的跟踪精度,满足实际雷达跟踪系统要求。Tracking ground targets with GMTI sensors has been considered a challenging problem. This paper introduces a new methodology for airborne GMTI radar tracking problem. A novel airborne GMTI radar observation model is proposed by analyzing the airborne radar observations. To reduce the nonlinear relation between the Doppler observation and target state, Doppler observation is defined by a predigested distribution function. According to the demands of GMTI tracking system, UKF is used for nonlinear estimation with low computing burden, which can reduce estimating error clearly, due to the transformation from airborne coordinate to ground inertia coordinate. The experimental results show that the proposed method has high tracking precision.

关 键 词：地面慢动目标指示 机载GMTI量测模型 不敏卡尔曼滤波器 多目标跟踪系统 

分 类 号：TN957[电子电信—信号与信息处理]