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Performance analysis of Godard-based blind channel identification

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1 Author(s)
P. Schniter ; Ohio State Univ., Columbus, OH, USA

We analyze a blind channel impulse response identification scheme based on the cross-correlation of blind symbol estimates with the received signal. The symbol estimates specified are those minimizing the Godard (1980) (or constant modulus) criterion, for which mean-squared symbol estimation error bounds have been derived previously. We derive upper bounds for the average squared parameter estimation error of the blind identification scheme which depend on the mean-squared error of the Wiener symbol estimator, the kurtoses of the desired and interfering sources, and the channel impulse response. All results are derived in a general multi-user vector-channel context

Published in:

Adaptive Systems for Signal Processing, Communications, and Control Symposium 2000. AS-SPCC. The IEEE 2000

Date of Conference:

2000