Matches in UGent Biblio for { <https://biblio.ugent.be/publication/750551#aggregation> ?p ?o. }
Showing items 1 to 33 of
33
with 100 items per page.
- aggregation classification "P1".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2007".
- aggregation format "application/pdf".
- aggregation hasFormat 750551.bibtex.
- aggregation hasFormat 750551.csv.
- aggregation hasFormat 750551.dc.
- aggregation hasFormat 750551.didl.
- aggregation hasFormat 750551.doc.
- aggregation hasFormat 750551.json.
- aggregation hasFormat 750551.mets.
- aggregation hasFormat 750551.mods.
- aggregation hasFormat 750551.rdf.
- aggregation hasFormat 750551.ris.
- aggregation hasFormat 750551.txt.
- aggregation hasFormat 750551.xls.
- aggregation hasFormat 750551.yaml.
- aggregation isPartOf urn:isbn:9781424411436.
- aggregation language "eng".
- aggregation publisher "IEEE".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "The Cramer-Rao bound and ML estimate for data-aided channel estimation in KSP-OFDM".
- aggregation abstract "In this paper, we derive the Cramer-Rao bound (CRB) for data-aided channel estimation for OFDM with known symbol padding (KSP-OFDM). The pilot symbols used to estimate the channel are distributed over the guard interval and OFDM carriers, in order to keep the guard interval length as small as possible. An analytical expression for the CRB is obtained by performing a proper linear transformation on the observed samples. At low SNR, the CRB corresponds to the low SNR limit of the CRB obtained in [1], where it is assumed that the influence of the data symbols on the channel estimation can be neglected. At high SNR, the CRB is determined by the observations that are independent of the data symbols; the observations that are affected by data symbols are neglected. The CRB depends on the number of pilots and slightly increases with increasing guard interval length, but is essentially independent of the FFT size and the used pilot sequence. Further, a low complexity ML channel estimation technique is derived based on the linear transformation. Although in this estimation technique only a part of the observation is used, the mean squared error (MSE) performance of this estimate reaches the CRB for a large range of SNR, but a high SNR, the MSE reaches an error floor caused by the approximations made in the derivation.".
- aggregation authorList BK122466.
- aggregation endPage "317".
- aggregation startPage "313".
- aggregation aggregates 829903.
- aggregation isDescribedBy 750551.
- aggregation similarTo PIMRC.2007.4394104.
- aggregation similarTo LU-750551.