Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Tobit Maximum-likelihood estimation of Censored Pathloss Data

In English

Författare

Summary, in English

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 are 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 is solved by applying a Tobit maximum-likelihood estimator, which provides consistent estimates for the pathloss parameters. This technical report provides information about the Tobit maximum-likelihood estimator estimator and its asymptotic variance under certain conditions.

Publiceringsår

2015

Språk

Engelska

Publikation/Tidskrift/Serie

Technical report, Dept. of Electrical and Information Technology, Lund University, Sweden

Dokumenttyp

Rapport

Förlag

[Publisher information missing]

Ämne

  • Telecommunications

Nyckelord

  • maximum-likelihood estimation
  • Pathloss
  • ordinary least squares
  • truncated data
  • censored data
  • vehicular communication.

Status

Published

Forskningsgrupp

  • Radio Systems

ISBN/ISSN/Övrigt

  • ISSN: 1402-8840