Joint communication and positioning based on soft channel parameter estimation

Kathrin Schmeink*, Rebecca Adam, Peter Höher

*Kontaktforfatter for dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Abstrakt

A joint communication and positioning system based on maximum-likelihood channel parameter estimation is proposed. The parameters of the physical channel, needed for positioning, and the channel coefficients of the equivalent discrete-time channel model, needed for communication, are estimated jointly using a priori information about pulse shaping and receive filtering. The paper focusses on the positioning part of the system. It is investigated how soft information for the parameter estimates can be obtained. On the basis of confidence regions, two methods for obtaining soft information are proposed. The accuracy of these approximative methods depends on the nonlinearity of the parameter estimation problem, which is analyzed by so-called curvature measures. The performance of the two methods is investigated by means of Monte Carlo simulations. The results are compared with the Cramer-Rao lower bound. It is shown that soft information aids the positioning. Negative effects caused by multipath propagation can be mitigated significantly even without oversampling.
OriginalsprogEngelsk
Artikelnummer185
TidsskriftEURASIP Journal on Wireless Communications and Networking
Vol/bind2011
Udgave nummer1
ISSN1687-1472
DOI
StatusUdgivet - 2011

Fingeraftryk Dyk ned i forskningsemnerne om 'Joint communication and positioning based on soft channel parameter estimation'. Sammen danner de et unikt fingeraftryk.

  • Citationsformater