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Simulation of Turbo Product Codes in the AWGN Channel

Jie Zhang, Huli Shi

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Abstract

This paper presents Turbo Product Codes(TPC) for a new type of forward error correction coding.It studies the principle of encoding and decoding of Turbo Product Codes.And the simulation of TPC is given for the Additive Gaussian Noise(AWGN).Optimal encoding and decoding methods with sub-codes of different parameters is proposed in this article.The results of simulation show that compared with conventional convolutional codes and Turbo Codes,Turbo Pruduct Codes has an excellent performance at a higher rate.

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What this paper is about

This paper presents Turbo Product Codes(TPC) for a new type of forward error correction coding.It studies the principle of encoding and decoding of Turbo Product Codes.And the simulation of TPC is given for the Additive Gaussian Noise(AWGN).Optimal encoding and decoding methods with sub-codes of different parameters is proposed in this article.The results of simulation show that compared with conventional convolutional codes and Turbo Codes,Turbo Pruduct Codes has an excellent performance at a higher rate.

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Available abstract

This paper presents Turbo Product Codes(TPC) for a new type of forward error correction coding.It studies the principle of encoding and decoding of Turbo Product Codes.And the simulation of TPC is given for the Additive Gaussian Noise(AWGN).Optimal encoding and decoding methods with sub-codes of different parameters is proposed in this article.The results of simulation show that compared with conventional convolutional codes and Turbo Codes,Turbo Pruduct Codes has an excellent performance at a higher rate.

Key concepts: Turbo code, Serial concatenated convolutional codes, Computer science, Turbo equalizer, Concatenated error correction code, Algorithm, Additive white Gaussian noise, Convolutional code

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