基于卡尔曼滤波的航迹信息预处理技术  

Preprocessing of Radar Track Based on Kalman Filter

作　　者：王锦章[1] 孙菲[2] 刘先康[2] 梁菁[2] 任杰[2] 杨欧[2] 魏存伟[2] 

机构地区：[1]海装天津局海军驻北京地区电子设备军事代表室,北京100015 [2]中国人民解放军海军701工厂研发部,北京100015

出　　处：《电子科技》2013年第8期22-25,共4页Electronic Science and Technology

摘　　要：针对舰船目标提出了一种新的航迹数据预处理技术,该方法首先建立起基于速度异常点剔除模型,较好地剔除了野值点。然后,采用卡尔曼滤波方法进行平滑。验证结果表明,该方法具有较强的准确性、鲁棒性和实时性,解决了滤波发散问题,在航迹信息处理及舰船目标识别领域具有较好的应用前景。A new preprocessing method based on Kalman filter is proposed for radar track of ship. Outlier estimating and detecting model are established, and radar track is smoothed by Kalman filtering. The result of experi- ment with the actual measured data indicates that the presented method is robust and simple enough to meet the real- time requirement. Moreover, the proposed method is efficient and very useful in radar track preprocessing and ship target classification.

关 键 词：航迹信息 卡尔曼滤波 野值剔除 

分 类 号：TN957.51[电子电信—信号与信息处理]