Cramér-Rao Lower bound for geolocation in non-line-of-sight environment
Yihong Qi, Hisashi Kobayashi
Abstract
Yihong Qi, Hisashi Kobayashi
Abstract
Geolocation in an non-line-of-sight (NLOS) environment is an important issue in wireless communications. Several empirical approaches have been proposed in recent years. However, two fundamental questions still remain unanswered: what is the achievable geolocation accuracy in the NLOS environment and how to attain it. In this paper, we derive a closed-form expression of the Cramér-Rao Lower bound (CRLB) for NLOS geolocation, which we believe is new and answers the first question. Its physical interpretation turns out to be very helpful to better understanding of NLOS geolocation mechanism. We discuss some numerical examples based on simulation experiments.
OpenAlex reports 78 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Geolocation in an non-line-of-sight (NLOS) environment is an important issue in wireless communications. Several empirical approaches have been proposed in recent years. However, two fundamental questions still remain unanswered: what is the achievable geolocation accuracy in the NLOS environment and how to attain it. In this paper, we derive a closed-form expression of the Cramér-Rao Lower bound (CRLB) for NLOS geolocation, which we believe is new and answers the first question. Its physical interpretation turns out to be very helpful to better understanding of NLOS geolocation mechanism. We discuss some numerical examples based on simulation experiments.
Key concepts: Non-line-of-sight propagation, Geolocation, Cramér–Rao bound, Computer science, Upper and lower bounds, Wireless, Line-of-sight, Algorithm