JOURNAL ARTICLE

A solution to terrain elevation matching problem based on HMM

Abstract

Terrain Elevation Matching(TEM) uses terrain height variations under an aircraft and the reference map stored on-board to get the aircraft position. Hidden-Markov-Model(HMM) was applied to construct a new TEM model, viz. HMM based TEM (HMMTEM) model. With the given model, an HMMTEM algorithm using Viterbi, is designed and implemented to estimate the position error in INS. The simulation results show that HMMTEM algorithm can better improve the positioning precision of autonomous navigation than SITAN algorithm.

Keywords:
Hidden Markov model Terrain Viterbi algorithm Computer science Elevation (ballistics) Position (finance) Matching (statistics) Artificial intelligence Raised-relief map Construct (python library) Forward algorithm Computer vision Pattern recognition (psychology) Algorithm Markov model Markov chain Engineering Mathematics Geography Machine learning Cartography Variable-order Markov model Statistics

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
5
Refs
0.04
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Robotic Path Planning Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

JOURNAL ARTICLE

Research on aided navigation based on terrain elevation matching and simulation

Yanping HeXinxue LiuCai YanpingYu Zhu

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 2016 Vol: 9796 Pages: 97962X-97962X
JOURNAL ARTICLE

A Review of Terrain Elevation Matching Algorithms for Undersea Vehicles

Lu XIONGJingshu LIZhe RAOZhifan HUO

Journal:   DOAJ (DOAJ: Directory of Open Access Journals) Year: 2025
© 2026 ScienceGate Book Chapters — All rights reserved.