论文标题
扩散MC的分数间隔均衡和决策反馈序列检测
Fractionally-Spaced Equalization and Decision Feedback Sequence Detection for Diffusive MC
论文作者
论文摘要
在本文中，我们考虑了受信号依赖性扩散噪声，符号间干扰和外部噪声影响的扩散分子通信（MC）系统。我们设计了线性和非线性分数间隔均衡方案以及结合决策反馈和序列检测（DFSD）的检测方案。与MC文献中的符号率均衡方案相反，所提出的均衡和检测方案利用每个符号间隔接收信号的多个样本以达到比现有方案较低的位错误率（BER）。提出的DFSD方案实现了一个BER，该BER非常接近通过最大似然序列检测而实现的BER，但计算复杂性较低。
In this paper, we consider diffusive molecular communication (MC) systems affected by signal-dependent diffusive noise, inter-symbol interference, and external noise. We design linear and nonlinear fractionally-spaced equalization schemes and a detection scheme which combines decision feedback and sequence detection (DFSD). In contrast to the symbol-rate equalization schemes in the MC literature, the proposed equalization and detection schemes exploit multiple samples of the received signal per symbol interval to achieve lower bit error rates (BERs) than existing schemes. The proposed DFSD scheme achieves a BER which is very close to that achieved by maximum likelihood sequence detection, but with lower computational complexity.
