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The iterative decoding algorithm research of Turbo Product Codes

机译:Turbo乘积码的迭代译码算法研究

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This article has researched encoding and decoding algorithms of Turbo Product Codes focusing on analysis of Chase-Pyndiah algorithm-based soft in/soft out (SISO) iterative decoding algorithm. The algorithm simulation done under matlab7.0 environment shows that, on an AWGN channel using BPSK modulation, Turbo Product Codes do a similar decoding performance as Turbo codes with a simpler decoding method and faster convergence. After several iterations, the decoding performance of Turbo Product Codes, which can be regarded as a kind of excellent channel coding pattern, has been significantly improved. Finally, a further research on modified decoding algorithm, that is gradient decoding algorithm, has been done and the simulation result approves that it offers a very good compromise between complexity and performance.
机译:本文研究了Turbo产品代码的编码和解码算法,着重分析了基于Chase-Pyndiah算法的软输入/软输出(SISO)迭代解码算法。在matlab7.0环境下进行的算法仿真表明,在使用BPSK调制的AWGN信道上,Turbo产品代码的解码性能与Turbo代码相似,但解码方法更简单且收敛速度更快。经过多次迭代,可以被视为一种出色的信道编码模式的Turbo产品代码的解码性能得到了显着改善。最后,对改进的解码算法,即梯度解码算法,进行了进一步的研究,仿真结果表明,该算法在复杂度和性能之间取得了很好的折衷。

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