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A SOVA decoding algorithm with better performance for Turbo codes

Han X

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Abstract

The performance of MAP decoding algorithm is optimal, but its complexity is very high, which affects its implementation in fact. This paper introduces a new decoding algorithm with the performances similar to that of MAP algorithm and with lower complexity, and makes it more perfect .The simulation results show that the new SOVA algorithm performs very close to the MAP algorithm for binary turbo codes.

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What this paper is about

The performance of MAP decoding algorithm is optimal, but its complexity is very high, which affects its implementation in fact. This paper introduces a new decoding algorithm with the performances similar to that of MAP algorithm and with lower complexity, and makes it more perfect .The simulation results show that the new SOVA algorithm performs very close to the MAP algorithm for binary turbo codes.

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Available abstract

The performance of MAP decoding algorithm is optimal, but its complexity is very high, which affects its implementation in fact. This paper introduces a new decoding algorithm with the performances similar to that of MAP algorithm and with lower complexity, and makes it more perfect .The simulation results show that the new SOVA algorithm performs very close to the MAP algorithm for binary turbo codes.

Key concepts: Decoding methods, Computer science, Algorithm, Turbo code, BCJR algorithm, Turbo equalizer, Serial concatenated convolutional codes, Sequential decoding

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