A new soft-input, soft-output algorithm for decoding LDPC codes is described in this paper. Using soft squared Euclidean distance as the metric, the algorithm realizes decoding by iterating the antilog-sum of the Euclide an distance. A simplified algorithm is also put forward to reduce computational complexity. The proposed algorithm does not require knowledge of the signal-to-noise ratio of the received signal and is less complex to implement than other soft decision algorithms. The results of simulation show that the performance is very close to that of sum product algorithm while the computational complexity is sharply reduced.%提出了一种软输入软输出LDPC码译码算法,采用欧氏距离作为判决准则,通过对欧式距离信息的反对数和进行迭代处理,实现软输入软输出译码；同时,还提出了该算法的一种简化方法,以降低计算复杂度.本文提出的软输入软输出算法无需接收信号的信噪比和信道状态即可实现译码,并且在性能无明显损失的前提下降低了计算复杂度.仿真结果表明,在性能与和积译码算法性能相近的情况下,计算复杂度比和积译码算法的复杂度下降了约10％.
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