【資料名稱】：A non-line-of-sight mitigation technique based on ML-detecti

【資料作者】：Jaume Riba and Andreu Urruela

【資料日期】：2004

【資料語言】：英文

【資料格式】：PDF

【資料目錄和簡介】：

1Geolocation in Non Line of Sight (NLOS) environments is
an important issue in wireless communication networks. In
several recent publications related with the nature and magnitude
of the NLOS phenomenon it is concluded that this
is the major source of error in position estimators based on
time measurements. This article presents a new approach
to ameliorate the effect of the NLOS exploiting the redundant
time measurements in scenarios with more than the
minimum number of base stations (BSs). This redundant
data allows to formulate the problem as a test of hypothesis
performing a hard decision to discard the BS considered to
be in a NLOS scenario. Numerical simulations show that
the proposed algorithm can discard the NLOS errors in certain
scenarios. The algorithm is also compared with some
other existing methods to show the advantage of the new
approach.