Kalman-based estimation of measured channels in mobile MIMO OFDM system

Mihai Enescu, Timo Roman, Markus Herdin

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

In this paper the feasibility of a MIMO OFDM channel tracking algorithm when applied to measured MIMO channels is studied. A time domain channel estimation and tracking based on Kalman filtering is employed while the equalization is performed in frequency domain. Our simulations based on measured MIMO channels show that reliable channel estimation can be performed under realistic conditions. Moreover, some theoretical assumptions are shown to be fulfilled in practice.

Original languageEnglish
Title of host publicationXII. European Signal Processing Conference EUSIPCO-2004, September 6-10, 2004 Vienna Austria
Pages1865-1868
Number of pages4
Volume06-10-September-2004
ISBN (Electronic)9783200001657
Publication statusPublished - 3 Apr 2004
MoE publication typeA4 Article in a conference publication
EventEuropean Signal Processing Conference - Vienna, Austria
Duration: 6 Sep 200410 Sep 2004
Conference number: 12

Conference

ConferenceEuropean Signal Processing Conference
Abbreviated titleEUSIPCO
CountryAustria
CityVienna
Period06/09/200410/09/2004

Keywords

  • channel estimation
  • MIMO measured channels
  • OFDM
  • state space model

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