A solution to terrain elevation matching problem based on HMM

Author

Feng Qingtang ; Wang Gang

Author_Institution

95899th Dept., PLA, Beijing, China

fYear

2014

fDate

8-10 Aug. 2014

Firstpage

1092

Lastpage

1094

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

aircraft navigation; autonomous aerial vehicles; hidden Markov models; inertial navigation; position control; terrain mapping; HMMTEM algorithm; HMMTEM model; INS; SITAN algorithm; Sandia initial terrain aided navigation; Viterbi; aircraft position; autonomous navigation; hidden-Markov-model; position error estimation; positioning precision; reference map; terrain elevation matching problem; terrain height variations; Aircraft; Aircraft navigation; Atmospheric modeling; Hidden Markov models; Noise measurement; Position measurement; Simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese

Conference_Location

Yantai

Print_ISBN

978-1-4799-4700-3

Type

conf

DOI

10.1109/CGNCC.2014.7007357

Filename

7007357