Blind System Identification and Channel Equalization for IIR Systems
نویسندگان
چکیده
A novel approach is proposed to blindly identify an unknown IIR system. The methods presented are linear in parameters of the unknown system so that many standard recursive algorithms can readily apply. It is also shown in the paper that under a generic condition, any finite order IIR system is identifiable provided the over-sampling ratio is high enough.
منابع مشابه
Self-Tuning Blind Identification and Equalization of IIR Channels
This paper considers self-tuning blind identification and equalization of fractionally spaced IIR channels. One recursive estimator is used to generate parameter estimates of the numerators of IIR systems, while the other estimates denominator of IIR channel. Equalizer parameters are calculated by solving Bezout type equation. It is shown that the numerator parameter estimates converge (a.s.) t...
متن کاملBlind system identification and channel equalization of IIR systems without statistical information
A novel approach is proposed to blindly identify an unknown IIR system. The approach is based on faster sampling at the system output and requires neither a priori statistical information on the unknown input nor training signals. The methods presented are linear in the parameters of the unknown system so that many standard recursive algorithms can be readily applied. It is also shown in the pa...
متن کاملRobust Blind Equalization Algorithms Based on the Constrained Maximization of a Fourth-Order Cumulant Function
The present letter deals with the blind equalization problem of a single-input single-output infinite impulse response (SISO-IIR) channel with additive Gaussian noise. To solve the problem, we propose a new criterion for maximizing constrainedly a fourth-order cumulant. The algorithms derived from the criterion have such a novel property that even if Gaussian noise is added to the output of the...
متن کاملIIR System Identification Using Improved Harmony Search Algorithm with Chaos
Due to the fact that the error surface of adaptive infinite impulse response (IIR) systems is generally nonlinear and multimodal, the conventional derivative based techniques fail when used in adaptive identification of such systems. In this case, global optimization techniques are required in order to avoid the local minima. Harmony search (HS), a musical inspired metaheuristic, is a recently ...
متن کاملBlind System Identi cation and Channel Equalization of IIR Systems without Statistical Information
A novel approach is proposed to blindly identify an unknown IIR system. The approach is based on faster sampling at the system output and requires neither a priori statistical information on the unknown input nor training signals. The methods presented are linear in the parameters of the unknown system so that many standard recursive algorithms can be readily applied. It is also shown in the pa...
متن کامل