Indoor location estimation system based on evolutionary matching

The indoor Real Time Location Systems (RTLS) is attracting more and more attention while a series of challenging problem still exists such as the real-time performance, location precision, and the large amount of disturbance signal brought by complex indoor circumstances. However, existing location estimation technology cannot satisfy the requirements of indoor RTLS. In this paper, a high-precision indoor location estimation technology based on Ultra Wideband and evolutionary matching mechanism is proposed, based on which an indoor location service platform is built with intelligent alerting strategy based on Newton collision graphic engine. Experimental results show that the proposed method improves not only the location estimation accuracy but also the ability to eliminate the multipath signals with low computational cost.