Eigenvector algorithm for blind MA system identification

نویسندگان

  • Dieter Boss
  • Björn Jelonnek
  • Karl-Dirk Kammeyer
چکیده

We present a novel approach to the blind estimation of a linear time-invariant possibly mixed-phase moving average (MA) system (channel) based on second and fourth order statistics of the stationary received signal. As the algorithm incorporates the solution of an eigenvector problem, it is termed EVI standing for EigenVector approach to blind Identification. One of EVI's main features is its ability to obtain reliable estimates of the channel's MA parameters on the basis of very short records of received data samples. It is also robust with respect to an overestimation of the channel order. Furthermore, we demonstrate that, if independent additive white Gaussian noise is present, the degradation of the MA parameter estimates is minor even at low signal-to-noise ratios. By simulation results, we nally show the potential applicability of EVI to mobile radio communication channels under time-invariance conditions typically assumed in GSM receivers. Dans cette communication nous proposons une nouvelle approche d'identiication aveugle de mod eles MA (canaux) a phase mixte, bas ee sur l'utilisation conjointe des statistiques d'ordre deux et quatre du signal r ee cu stationnaire. Comme cette approche incorpore la solution d'un probl eme de vecteurs propres, elle est appel ee EigenVector approach to blind Identification (EVI). Un des int er^ ets principaux de EVI est sa capacit e d'estimer de mani ere able les coeecients MA du canal a partir d'un tr es faible nombre d' echantillons. La m ethode propos ee est aussi robuste visa -vis de la surestimation de l'ordre du mod ele. Par ailleurs, nous d emontrons que si un bruit ind ependant, additif, blanc Gaussien est pr esent, la d egradation des estim ees du mod ele est n egligeable m^ eme pour un faible rapport signal a bruit. Gr^ ace a des simulations, nous montrons nale-ment que EVI peut tout a fait s'appliquer aux canaux de communications mobiles sous l'hypoth ese d'invariance temporelle habituellement faite dans les r ecepteurs GSM.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Decision-feedback Eigenvector Approach to Blind Arma Equalization and Identification

BLIND ARMA EQUALIZATION AND IDENTIFICATION Dieter BOSS, Bj orn JELONNEK and Karl-Dirk KAMMEYER Hamburg Univ. of Technology, Dept of Telecommunications, Eissendorfer Str. 40, D-21071 Hamburg, Germany, Tel.: +(49)-40/7718-2167, Fax: +(49)-40/7718-2281, E-mail: [email protected], IP1: ftp.et2.tu-harburg.de ABSTRACT 2: Proc. IEEE-SP/ATHOS Workshop on Higher-Order Statistics, Girona, Spain, 12-14 ...

متن کامل

Maximum likelihood method for blind identification of multiple autoregressive channels

AbstractWe present a two-step maximum likelihood (TSML) algorithm for blind identification of single-inputmultiple-output (SIMO) channels modeled as autoregressive (AR) system. The AR-TSML algorithm provides a new and useful alternative to a previously developed TSML algorithm for moving-average (MA) system. The AR-TSML algorithm is shown to be more robust than the MA-TSML algorithm if the chan...

متن کامل

An Adaptive Block-Based Eigenvector Equalization for Time-Varying Multipath Fading Channels

In this paper we present an adaptive BlockBased EigenVector Algorithm (BBEVA) for blind equalization of time-varying multipath fading channels. In addition we assess the performance of the new algorithm for different configurations and compare the results with the least mean squares (LMS) algorithm. The new algorithm is evaluated in terms of intersymbol interference (ISI) suppression, mean squa...

متن کامل

Blind Identification of MA Models using Cumulants

In this paper, many techniques for blind identification of moving average (MA) process are presented. These methods utilize thirdand fourth-order cumulants of the noisy observations of the system output. The system is driven by an independent and identically distributed (i.i.d) non-Gaussian sequence that is not observed. Two nonlinear optimization algorithms, namely the Gradient Descent and the...

متن کامل

Generalized eigenvector algorithm for blind equalization

In 1994, an eigenvector solution to the problem of blind equalization of possibly mixed-phase linear time-invariant transmission channels was published in this journal. Unfortunately, this solution is ambiguous on a certain condition. In this paper, we introduce a novel iterative method termed EigenVector Algorithm for blind equalization (EVA), which not only overcomes the uniqueness problem, b...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Signal Processing

دوره 66  شماره 

صفحات  -

تاریخ انتشار 1998