On geolocation accuracy with prior information in non-line-of-sight environment
Yihong Qi, Hiroshi Kobayashi
Abstract
Yihong Qi, Hiroshi Kobayashi
Abstract
Non-line-of-sight (NLOS) geolocation becomes an important issue with the fast development of mobile communications. Several methods have been proposed to address this problem. However, a comprehensive study on the best geolocation accuracy that these methods may possibly achieve is called for. Qi and Kobayashi (see The Proceeding of the 36th Annual Conference on Information Sciences and Systems (CISS 2002), Princeton University, March 2002 and IASTED International Conference on Wireless and Optical Communications (WOC 2002), Banff, Canada, July 2002) reported a unified analysis of the Cramer-Rao lower bound (CRLB) and achievable bounds applicable to NLOS geolocation, assuming no prior information on the mobile station (MS) position or NLOS induced paths is available. In practice, however, we often have some information about these parameters beforehand. In this paper, we derive a lower bound for the geolocation accuracy in the presence of such prior information, and explore its physical interpretation. Some numerical examples are discussed.
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Non-line-of-sight (NLOS) geolocation becomes an important issue with the fast development of mobile communications. Several methods have been proposed to address this problem. However, a comprehensive study on the best geolocation accuracy that these methods may possibly achieve is called for. Qi and Kobayashi (see The Proceeding of the 36th Annual Conference on Information Sciences and Systems (CISS 2002), Princeton University, March 2002 and IASTED International Conference on Wireless and Optical Communications (WOC 2002), Banff, Canada, July 2002) reported a unified analysis of the Cramer-Rao lower bound (CRLB) and achievable bounds applicable to NLOS geolocation, assuming no prior information on the mobile station (MS) position or NLOS induced paths is available. In practice, however, we often have some information about these parameters beforehand. In this paper, we derive a lower bound for the geolocation accuracy in the presence of such prior information, and explore its physical interpretation. Some numerical examples are discussed.
Key concepts: Geolocation, Non-line-of-sight propagation, Cramér–Rao bound, Computer science, Upper and lower bounds, Line-of-sight, Wireless, Position (finance)