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Set-Membership Adaptive Equalization and an Updator-Shared Implementation for Multiple Channel Communications Systems (1996)
| Content Provider | CiteSeerX |
|---|---|
| Author | Gollamudi, Sridhar Kapoor, Samir Nagaraj, Shirish Huang, Yih-Fang |
| Description | This paper considers the problems of channel estimation and adaptive equalization in the novel framework of set-membership parameter estimation. Channel estimation using a class of set-membership identification algorithms known as optimal bounding ellipsoid (OBE) algorithms and their extension to track time-varying channels are described. Simulation results show that the OBE channel estimators outperform the least-mean-square (LMS) algorithm and perform comparably to the RLS and the Kalman filter. The concept of set-membership equalization is introduced along with the notion of a feasible equalizer. Necessary and sufficient conditions are derived for the existence of feasible equalizers in the case of linear equalization for a linear FIR additive noise channel. An adaptive OBE algorithm is shown to provide a set of estimated feasible equalizers. The selective update feature of the OBE algorithms is exploited to devise an updator-shared scheme in a multiple channel environment, referred... |
| File Format | |
| Language | English |
| Publisher Date | 1996-01-01 |
| Publisher Institution | in the IEEE Trans. Signal Proc |
| Access Restriction | Open |
| Subject Keyword | Multiple Channel Environment Obe Channel Estimator Kalman Filter Selective Update Feature Set-membership Equalization Feasible Equalizer Updator-shared Scheme Linear Fir Additive Noise Channel Set-membership Parameter Estimation Set-membership Adaptive Equalization Updator-shared Implementation Channel Estimation Time-varying Channel Sufficient Condition Adaptive Equalization Adaptive Obe Algorithm Multiple Channel Communication System Linear Equalization Novel Framework Simulation Result Obe Algorithm Set-membership Identification |
| Content Type | Text |
| Resource Type | Article |
