Improved indoor position estimation algorithm based on geo-magnetism intensity

This paper proposes the improved indoor position estimation algorithm based on geo-magnetism intensity which compensate the flaw of particle filter. Indoor position estimation based on geo-magnetism can find most suitable algorithm by applying existing indoor position estimation. Among many ways, using particle filter is most used method. Existing particle filter which acquires highly expensive arithmetic operation along with high convergence time make this filter not suitable for low specification terminal. In order to solve this problem, the research to supplement the existing particle filter was done. Proposed indoor position estimation which used modified particle filter generates few particles to most similar intensity location estimation which is measured by magnetism intensity. Pedestrian´s location can be estimated by created filtered arithmetic operation which created few particles. This process requires fewer arithmetic operations than the existing method therefore creates more precise location estimation while acquires shorter travel range.