Thorsten Petermann

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We investigate in this paper whether the HOS-based blind channel estimation method EVI (EigenVector approach to blind Identification) can compete with the non-blind cross-correlation-based scheme used in state-of-the-art GSM receivers (Global System for Mobile comm.). For blind, non-blind, and ideal estimates of COST-207 2 mobile radio channels, we give(More)
Finite-Alphabet-based blind channel estimation in OFDM systems is known to be extremely complex due to an exhaustive search to be performed over a tremendous number of channel coefficient combinations. In this paper, we present a novel blind channel estimator which dramatically reduces this number of coefficient combinations to be checked without a(More)
Channel estimation plays a leading role in wireless communication systems such as GSM (Global System for Mobile communications). Putting the main emphasis on investigating the application of non-blind and blind channel estimation approaches to the identification of a full rate data Traffic CHannel (TCH/F9.6), we present in this paper a new idea of an(More)
—In this paper, we present two novel blind channel estimation algorithms for OFDM systems based upon the knowledge that the modulated and transmitted data are confined to a finite alphabet set. The Minimum Impulse Length (MIL) method exploits the correlations between adjacent subcarrier coefficients caused by time limited impulse responses and shows a very(More)
AUSZUG Die Kanalschätzung spielt eine sehr wichtige Rolle in kohärenten Funkübertragungssystemen wie z.B. GSM (GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS). Kanal-kodierer Kanal-Dekod. Interl. Deint. b.a. MLSE b b.d. m k () b ^ soft output h , () k x ^ burst assembly d k () d k () ^ burst disassembly Empfänger Sender diff. Kod. GMSK-Demod. () c ,t t 1 T / n t(More)
Finite-Alphabet based blind channel estimation in OFDM systems is known to be extremely complex due to an exhaustive search to be performed over a tremendous number of channel coefficient combinations. In this paper, we present a novel blind channel estimator, which dramatically reduces this number of coefficient combinations to be checked without a(More)
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