AWGN信道中8-PSK TCM抗噪声性能的改进

以误差序列的欧氏重量为度量,改进了传统编码方案中自由欧氏距离的算法,并且通过简化条件译码概率的计算对V iterbi最大似然译码算法进行了优化,从而提高了系统的抗噪声性能。最后通过MATLAB仿真验证了该改进方案具有较高的渐近编码增益,使系统性能更逼近理论限。

An Improvement on the Bit Error Rate of 8 - PSK TCM in AWGN Channel

This thesis briefly introduces the theory of TCM.By using the Euclidean Weight of error sequences as the coding metric,the algorithm of the Free Euclidean Distance in traditional coding schemes is improved,and the Viterbi Maximum-Likelihood decoding algorithm is optimized by simplifying the calculation of the conditional decoding probability,thus the improvement has been made in the performance of the whole system.Finally,it is verified that this scheme can get higher asymptotic coding gain through MATLAB simulation,which makes the system performance approach the asymptotic limit in theory compared with the traditional scheme.