通过单一的Wi-Fi接入点的信号强度来判断移动物体的位置。比较新的一篇文章。用了蒙特卡罗抽样的办法－Monte Carlo Sampling Method－来估计位置。-This paper describes research towards a system

for locating wireless nodes in a home environment requiring

merely a single access point. The only sensor reading used for

the location estimation is the received signal strength indication

(RSSI) as given by an RF interface, e.g.,Wi-Fi.Wireless

signal strengthmaps for the positioning filter are obtained by

a two-step parametric and measurement driven ray-tracing

approach to account for absorption and reflection characteristics

of various obstacles. Location estimates are then

computed using Bayesian filtering on sample sets derived

by Monte Carlo sampling. We outline the research leading

to the system and provide location performance metrics using

trace-driven simulations and real-life experiments. Our

results and real-life walk-troughs indicate that RSSI readings

from a single access point in an indoor environment

are sufficient to derive good location estimates of users with

sub-room precision.