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An improved MMSE turbo equalization algorithm in frequency domain

Bo Wu, Kai Niu, Ping Gong, Shaohui Sun

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Abstract

Turbo equalization is an iterative technique for the equalization and decoding of data that has been transmitted over the inter-symbol interference (ISI) channels. A number of suboptimal and low-complexity equalization algorithms have been developed to replace the optimal maximum a probability (MAP) equalizer. In this paper, we present an improved turbo minimum mean-squared error (MMSE) equalization algorithm in frequency domain. It is motivated by the existing turbo MMSE frequency domain equalization algorithm and further improved to perform well even in the severe frequency-selective channels while keeping a comparable complexity. Simulation results show that the new algorithm achieves a performance gain of 1.6 dB in Proakis B channel and 2.4 dB in Proakis C channel in comparison with the existing algorithm.

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What this paper is about

Turbo equalization is an iterative technique for the equalization and decoding of data that has been transmitted over the inter-symbol interference (ISI) channels. A number of suboptimal and low-complexity equalization algorithms have been developed to replace the optimal maximum a probability (MAP) equalizer. In this paper, we present an improved turbo minimum mean-squared error (MMSE) equalization algorithm in frequency domain. It is motivated by the existing turbo MMSE frequency domain equalization algorithm and further improved to perform well even in the severe frequency-selective channels while keeping a comparable complexity. Simulation results show that the new algorithm achieves a performance gain of 1.6 dB in Proakis B channel and 2.4 dB in Proakis C channel in comparison with the existing algorithm.

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Available abstract

Turbo equalization is an iterative technique for the equalization and decoding of data that has been transmitted over the inter-symbol interference (ISI) channels. A number of suboptimal and low-complexity equalization algorithms have been developed to replace the optimal maximum a probability (MAP) equalizer. In this paper, we present an improved turbo minimum mean-squared error (MMSE) equalization algorithm in frequency domain. It is motivated by the existing turbo MMSE frequency domain equalization algorithm and further improved to perform well even in the severe frequency-selective channels while keeping a comparable complexity. Simulation results show that the new algorithm achieves a performance gain of 1.6 dB in Proakis B channel and 2.4 dB in Proakis C channel in comparison with the existing algorithm.

Key concepts: Turbo, Turbo equalizer, Equalization (audio), Minimum mean square error, Computer science, Algorithm, Frequency domain, Decoding methods

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