新的降低复杂度的Turbo均衡

Turbo均衡是一种通过反复均衡和信道译码来提高接收性能的迭代接收机算法。通常的Turbo均衡算法采用均衡与软输出译码的迭代运算，由于均衡和译码的重复计算，使得复杂度大大提高。文中提出了2种降低复杂度的Turbo均衡器：第一种采用软判决维特比译码，第二种采用软输入硬输出的维特比译码。通过仿真表明，这2种算法在几乎没有损失接收性能的情况下，大大降低了计算复杂度，并且第二种的性能要好于第一种。

The New Reduced Complexity Turbo Equalization

Turbo equalization is an iterative receiver algorithm repeating equalization and channel decoding to improve receiver performance. In general, turbo equalization algorithms combine equalization and soft output channel decoding in an iterative process. As equalization and decoding are performed several times, the complexity of the receiver increases respectively. In this paper, we propose two kinds of reduced complexity turbo equalization: the first one uses the soft decision Viterbi decoding algorithm while the second one uses the soft-in-hard-out Viterbi decoding algorithm. Simulation shows that the implementation complexity is reduced significantly at negligible performance loss. And the receiver performance of the second structure is better than the first one.