Higher Order Statistics for Identification of Minimum Phase Channels

This paper describes a blind algorithm, which is
compared with two another algorithms proposed in the literature,
for estimating of the minimum phase channel parameters. In order to
identify blindly the impulse response of these channels, we have used
Higher Order Statistics (HOS) to build our algorithm. The simulation
results in noisy environment, demonstrate that the proposed method
could estimate the phase and magnitude with high accuracy of these
channels blindly and without any information about the input, except
that the input excitation is identically and independent distribute
(i.i.d) and non-Gaussian.

• Mohammed Zidane
• Said Safi
• Mohamed Sabri
• Ahmed Boumezzough

• System Identification
• Higher Order Statistics
• Communication Channels.

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