Identification of multichannel MA parameters using higher-order statistics
نویسنده
چکیده
منابع مشابه
A Closed-form Identification of Multichannel Moving Average Processes by Esprit*
In this paper, a closed-form identification of possibly nonrninimum phase multichannel moving average (MA) processes is derived by exploiting the eigenstructures of the observation cumulant matrices using ~the ESPRIT algorithm. The proposed approach allows the combination of statistics of different orders for better performance and offers reduced computation complexity when compared with existi...
متن کاملSystem identification using a linear combination of cumulant slices
In this paper we develop a new linear approach to identify the parameters of a moving average (MA) model from the statistics of the output. First, we show that, under some constraints, the impulse response of the system can be expressed as a linear combination of cumulant slices. Then, this result is used to obtain a new well-conditioned linear method to estimate the MA parameters of a non-Gaus...
متن کاملBlind Estimation of Non-gaussian Finite Impulse Response (fir) Systems Using Higher Order Statistics
In this paper we present an approach for blind identification of a Single−Input Single−Output (SISO) Moving Average (MA) models, when only output data are available. The input sequence is assumed to be independent and identically distributed (i.i.d), zero mean and must be non−gaussian. The approach used is based on the fourth order cumulants. To evaluate the performance of the proposed algorith...
متن کاملA Schur method for multiuser multichannel blind identification
We address the problem of blind multiuser multichannel identification in a Spatial Division Multiple Access (S.D.M.A.) context. Using a stochastic model for the input symbols and only second order statistics, we develop a simple algorithm, based on the Generalized Schur algorithm to apply LDU decomposition of the covariance matrix of the received data. We show that this method leads to identifi...
متن کاملA Deterministic Schur Method for Multichannel Blind Identification
We address the problem of blind multichannel identification in a communication context. Using a deterministic model for the input symbols and only second order statistics, we develop a simple algorithm, based on the Generalized Schur algorithm to apply LDU decomposition of the covariance matrix of the received data. We show that this method leads to identification of the channel, up to a consta...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Signal Processing
دوره 53 شماره
صفحات -
تاریخ انتشار 1996