Efficient Complex Continuous-Time IIR Filter Design via Generalized Vector Fitting
نویسندگان
چکیده
We present a novel model identification technique for designing complex infinite-impulseresponse (IIR) continuous-time filters through generalizing the Vector Fitting (VF) algorithm, which is extensively used for continuous-time frequencydomain rational approximation to symmetric functions, to asymmetrical cases. VF involves a twostep pole refinement process based on a linear leastsquares solve and an eigenvalue problem. The proposed algorithm has lower complexity than conventional schemes by designing complex continuous-time filters directly. Numerical examples demonstrate that VF achieves highly efficient and accurate approximation to arbitrary asymmetric complex filter responses. The promising results can be realized for high-dynamic frequency range networks.
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