以Turbo码基本理论和算法为基础,依据无线信息传输的实际要求和Taylor级数的基本原理,提出了一种Turbo码的Taylor-Log-MAP高效译码算法。该算法对基本的Log-MAP算法中K运算利用Taylor级数进行展开,针对实际的信道需求对展开式进行截断,实现了Turbo码的最佳译码。与传统的对数域最大后验概率译码算法相比,该算法基本保持了优良的译码性能,同时避免了复杂的对数运算,减小了运算量。仿真结果表明,与现有的RS码性能相比,使用Turbo码可以获取5 dB的信噪比增益。
Based on the theory and architecture of Turbo codes, an efficient new decoding algorithm is designed according to the requirement of communication and the Taylor series. The function is transformed through the Taylor series expansion and truncated according to the demand for wireless communication. Compared with the Log_ MAP decoding algorithm, the new algorithm avoids complex operation. Simulation result shows the proposed algorithm keeps excellent decoding performance and the Taylor- Log_ MAP decoding algorithm can bring 5dB SNR(Signal- to - Noise Ratio) gain comoared with the RS codes.