Monte carlo solutions for blind phase noise estimation

Frederik Simoens*, Dieter Duyck, Hakan Ci̧rpan, Erdal Panayirc, Marc Moeneclaey

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Makalebilirkişi

5 Atıf (Scopus)

Özet

This paper investigates the use of Monte Carlo sampling methods for phase noise estimation on additive white Gaussian noise (AWGN) channels. The main contributions of the paper are (i) the development of a Monte Carlo framework for phase noise estimation, with special attention to sequential importance sampling and Rao-Blackwellization, (ii) the interpretation of existing Monte Carlo solutions within this generic framework, and (iii) the derivation of a novel phase noise estimator. Contrary to the ad hoc phase noise estimators that have been proposed in the past, the estimators considered in this paper are derived from solid probabilistic and performance-determining arguments. Computer simulations demonstrate that, on one hand, the Monte Carlo phase noise estimators outperform the existing estimators and, on the other hand, our newly proposed solution exhibits a lower complexity than the existing Monte Carlo solutions.

Orijinal dilİngilizce
Makale numarası296028
DergiEurasip Journal on Wireless Communications and Networking
Hacim2009
DOI'lar
Yayın durumuYayınlandı - 2009
Harici olarak yayınlandıEvet

Finansman

The first author gratefully acknowledges the support from the Research Foundation-Flanders (FWO Vlaanderen). This work is also supported by the European Commission in the framework of the FP7 Network of Excellence in Wireless Communications NEWCOM++ (Contract no. 216715), the Turkish Scientific and Technical Research Institute (TUBITAK) under Grant no. 108E054, and the Research Fund of Istanbul University under Projects UDP-2042/23012008, UDP-1679/10102007.

FinansörlerFinansör numarası
FP7 Network of Excellence in Wireless Communications NEWCOM++
Research Foundation-Flanders
TUBITAK108E054
Turkish Scientific and Technical Research Institute
Seventh Framework Programme216715
European Commission
Istanbul ÜniversitesiUDP-1679/10102007, UDP-2042/23012008
Fonds Wetenschappelijk Onderzoek

    Parmak izi

    Monte carlo solutions for blind phase noise estimation' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

    Alıntı Yap