Description: 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. Platform: |
Size: 452608 |
Author:weihuagao |
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Description: 本程序先使用RSSI中对数常态模型来测距离，然后用三边测量法来计算未知节点的坐标。-The program first uses RSSI in lognormal model to measure the distance, and then use trilateration to calculate the coordinates of the unknown node. Platform: |
Size: 1024 |
Author:刘晓红 |
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Search - RSSI-Trilateration