基于遗传算法与Chase译码算法的各自优势,提出了一种降低运算复杂度并加快译码速度的新颖分组Turbo码(BTC)译码算法。与传统的Chase译码算法相比,该译码算法降低了译码复杂度且加快了译码速度。仿真分析表明,该算法较传统的Chase译码算法在误码率为10-6时提高了约1.15dB的净编码增益(NCG),具有良好的纠错性能。因而它是一种适用于光传输系统且实用性较强的新颖BTC译码算法。 Based on the respective advantages of genetic algorithms and Chase decoding algorithms, a novel algorithm for decoding Turbo codes (BTC) is proposed to reduce the computational complexity and speed up the decoding. Compared with the traditional Chase decoding algorithm, the decoding algorithm reduces the decoding complexity and speeds up the decoding. Simulation results show that the proposed algorithm improves the net coding gain (NCG) of about 1.15 dB at the bit error rate of 10-6 compared with the traditional Chase decoding algorithm, and has good error correction performance. Therefore, it is a new and practical BTC decoding algorithm suitable for optical transmission system.