Blind Channel Estimation Under Channel Coding Conditions

Authors: T. Petermann, D. Boss, K.-D. Kammeyer
Abstract: As a fundamental component of the Global System for Mobile communications (GSM), channel coding aims at improving speech and data transmission quality when the signal encounters disturbances. In this paper, we put the main emphasis on investigating the application of blind channel estimation approaches based on Second Order Statistics (SOS) and/or Higher Order Statistics (HOS) to the identification of a full rate data Traffic CHannel (TCH/F9.6). Giving the bit error rates (BERs) after equalization and channel decoding in terms of the Eb/N0 ratio, we show that there are blind channel estimation algorithms which are almost as efficient as non-blind methods even if the disturbance is non-Gaussian.
Document type: Conference Paper
Publication: Phoenix, Arizona, USA, 7. - 10. December 1999
Conference: IEEE Conference on Decision and Control (CDC 99)
Index: 6
Paper KB
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