Hanson, D., Randall, R.B., Ford, R.A.J., Antoni, J., Thompson, D.J. and Waters, T.P.
Blind system identification using cyclostationarity and the complex cepstrum.
Proceedings of the Eighth International Symposium on Signal Processing and its Applications.
Eighth International Symposium on Signal Processing and its Applications
Institute of Electrical and Electronics Engineers.
Full text not available from this repository.
This paper presents a new technique for blind identification of MIMO systems excited by cyclostationary inputs with unique cyclic frequencies. The cyclic spectral density is determined, effectively reducing the system from a MIMO to a SIMO scenario, and curve fit in the cepstrum domain, which allows for the separation of the input and path effects. This technique is suitable for determining the in-service properties of passenger vehicles with internal combustion engines, and the resulting
properties can be used to update finite element models. The effectiveness of the new technique is demonstrated on a mechanical system.
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