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- W2187545485 abstract "Estimation of time-varying dispersive radio chan- nels is one of the most important tasks of receiver synchro- nization. State-of-the-art adaptive estimators employing de- cision feedback suffer from error propagation and limited robustness against faster fading. In this paper, the optimal feedforward channel estimator using only known training symbols is systematically derived. Statistical channel information is assumed to be available. For moderately rapid fading channels (snapshot assumption), the optimal estimator is shown to be divided into the two subtasks of maximum-likelihood acy~isition and subsequent Wiener filtering of the acquired quantities. If perfect training sequences resulting in optimal perfor- mance are used, the Wiener Altering operation collapses into independent fllteripg of the individual acquired tap estima- tes, and the resulting channel estimator becomes efficient and flexible. The performance of the optimal estimator is evaluated for important cases. A design example of a near-optimal €IF channel estimator/receiver is discussed. Linear inter- polation is used to reduce the computational complexity of receiver coefficient adjustment. Simulation results confirm the superiority and robustness of feedforward synchroniza- tion having near-optimal performance at reduced comple- xity." @default.
- W2187545485 created "2016-06-24" @default.
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- W2187545485 date "1994-01-01" @default.
- W2187545485 modified "2023-09-27" @default.
- W2187545485 title "Estimation of Frequency-Selective Fading Radio Channels" @default.
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