transparent gif

 

Ej inloggad.

Göteborgs universitets publikationer

Statistical Modeling and Estimation of Censored Pathloss Data

Författare och institution:
C. Gustafson (-); T. Abbas (-); David Bolin (Institutionen för matematiska vetenskaper, matematisk statistik, Chalmers/GU); F. Tufvesson (-)
Publicerad i:
IEEE Wireless Communications Letters, 4 ( 5 ) s. 569-572
ISSN:
2162-2337
E-ISSN:
2162-2345
Publikationstyp:
Artikel, refereegranskad vetenskaplig
Publiceringsår:
2015
Språk:
engelska
Fulltextlänk:
Sammanfattning (abstract):
Pathloss is typically modeled using a log-distance power law with a large-scale fading term that is log-normal. However, the received signal is affected by the dynamic range and noise floor of the measurement system used to sound the channel, which can cause measurement samples to be truncated or censored. If the information about the censored samples is not included in the estimation method, as in ordinary least squares estimation, it can result in biased estimation of both the pathloss exponent and the large scale fading. This can be solved by applying a Tobit maximum-likelihood estimator, which provides consistent estimates for the pathloss parameters. This letter provides information about the Tobit maximum-likelihood estimator and its asymptotic variance under certain conditions.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
TEKNIK OCH TEKNOLOGIER ->
Elektroteknik och elektronik
Nyckelord:
censored data , maximum-likelihood estimation , ordinary least squares , Pathloss , truncated data , vehicular communication
Postens nummer:
236329
Posten skapad:
2016-05-11 15:03
Posten ändrad:
2016-08-18 16:34

Visa i Endnote-format

Göteborgs universitet • Tel. 031-786 0000
© Göteborgs universitet 2007