点击次数：
DOI码：10.1016/j.ast.2025.111504
所属单位：北京航空航天大学
教研室：宇航学院
发表刊物：Aerospace Science and Technology
刊物所在地：法国
项目来源：国家自然科学基金
关键字：Terrain matching, 3D Zernike moment, 3D spectrum analysis
摘要：Terrain-Aided Navigation (TAN) systems have been investigated as an effective alternative to the Global Navigation Satellite System (GNSS) in the GNSS-denied environment. The core of a TAN system is a terrain matching algorithm to enable the positioning parameter determination using both the pre-existing digital elevation model and the real-time sensor data. Compared with the other terrain features, the 3D Zernike Moments (3D-ZMs) are not only orthogonal but also nonsensitive to noise, which is good for improving the performance of the terrain matching algorithm. However, there are still the 3D-ZMs insensitive to the terrain elevation fluctuation which are no good for the terrain matching and yet addressed sufficiently. Hence, a terrain matching algorithm based on the 3D-ZMs is proposed for the TAN systems. The 3D-ZMs are derived in the frequency domain for the spectrum analysis of the 3D-ZMs for the first time. The performance of the 3DZMs including the discrimination power and the sensitivity to noise is analyzed as the foundation for the proposed matching algorithm. With the revised 3D-ZM descriptors and feature vector by removing the 3D-ZMs vulnerable to noise and those insensitive to the terrain elevation fluctuation, the proposed terrain matching algorithm has revealed the superior matching performance to the existing ones, especially when there are noise and rotations.
合写作者：Jinling Wang
第一作者：周俊杰
论文类型：期刊论文
通讯作者：王可东
一级学科：控制科学与工程
文献类型：期刊
是否译文：否
发表时间：2025-12-19
收录刊物：SCI
发布期刊链接：https://www.sciencedirect.com/science/article/pii/S1270963825015688