Title :
A solution to terrain elevation matching problem based on HMM
Author :
Feng Qingtang ; Wang Gang
Author_Institution :
95899th Dept., PLA, Beijing, China
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;
Conference_Titel :
Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4799-4700-3
DOI :
10.1109/CGNCC.2014.7007357
