2005•IEEE Signal Processing LettersRequires access

Direct semi-blind MMSE equalization for STBC

Zhiguo Ding, D.B. Ward

Open publisher page 7 citations

Abstract

A semi-blind method for minimum mean square square error (MMSE) equalization of space-time block coding (STBC) systems is proposed. By exploiting information from the redundancy in the structure of STBC as well as from the training symbols, MMSE equalization can be achieved without channel estimation. Simulation results demonstrate the performance of the proposed algorithm compared to existing methods.

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What this paper is about

A semi-blind method for minimum mean square square error (MMSE) equalization of space-time block coding (STBC) systems is proposed. By exploiting information from the redundancy in the structure of STBC as well as from the training symbols, MMSE equalization can be achieved without channel estimation. Simulation results demonstrate the performance of the proposed algorithm compared to existing methods.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A semi-blind method for minimum mean square square error (MMSE) equalization of space-time block coding (STBC) systems is proposed. By exploiting information from the redundancy in the structure of STBC as well as from the training symbols, MMSE equalization can be achieved without channel estimation. Simulation results demonstrate the performance of the proposed algorithm compared to existing methods.

Key concepts: Space–time block code, Minimum mean square error, Blind equalization, Equalization (audio), Computer science, Algorithm, Block code, Mean squared error

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