摘要
针对地形统计模型产生的模拟数字地图,采用地形熵算法、扩展卡尔曼滤波、地形局部线性化等地形匹配系统的相关算法,对由地形雷达测得的面数据和高度表测得的点数据进行融合处理。仿真结果表明,两种数据的结合,可使匹配精度比融合前提高70%以上。
The surface and point data acquired by terrain radar and altimeter respectively were fused for the analog digital map produced by terrain statistical model through the relative algorithms of terrain matching system such as terrain entropy, extended Kalman filter and terrain partial linearization. The simulation results showed that the matching accuracy has been improved over 70% by the fusion of two kinds of data.
出处
《上海航天》
北大核心
2005年第1期35-38,共4页
Aerospace Shanghai
关键词
地形熵
卡尔曼滤波
地形随机线性化
融合
地形统计模型
Terrain entropy
Kalman filter
Terrain stochastic linearization
Fusion
Terrain statistical model
