【摘要】 Turbo码的MAP(最大后验概率)译码算法需要估值信噪比,否则会有一定的信噪比损失.本文基于高阶统计量的分析提出了Turbo码信噪比估值的新算法,它比已有算法更加简单有效,并且能从高斯信道推广到瑞利信道的一般情况,同时通过进行信噪比估值对Turbo码译码精度的灵敏性仿真测试证明了新算法的有效性.更多还原

【Abstract】 Signal to noise ratio (SNR) is required for maximum aposteriori probability(MAP) decoder of Turbo codes, otherwise there is some loss of SNR. A new algorithm of SNR estimator is proposed, which is based on the high order statistic analysis. The new algorithm is much simpler and more effective than the previous algorithms. And the new algorithm can be used for both the additive white Gaussian noise channel and the Rayleigh channel. The effectiveness of the new algorithm is verified by the computer simulations.更多还原