基于元胞自动机的动态多目标优化算法在地下轨道交通无线信道检测问题中的研究

项目名称： 基于元胞自动机的动态多目标优化算法在地下轨道交通无线信道检测问题中的研究

项目编号： No.61501186

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 无线电电子学、电信技术

项目作者： 丁青锋

作者单位： 华东交通大学

项目金额： 19万元

中文摘要： 隧道这一限定空间以及列车高速移动所引起的多径和多普勒效益，使地下轨道交通无线信道具有显著的动态特性，其信道检测的方法明显不同于地面。现有无线信道检测方法设定的环境具有静态特性，难以适应地下轨道交通无线信道的快速变化，使最佳接收机设计受限。为突破上述设计难题，本课题将运用动态多目标优化思想，寻找时间-频率双选择性信道的检测方法，为实现地下轨道交通无线通信系统的最佳接收提供关键技术，着重研究：（1）将元胞自动机与差分进化算法相结合，通过分割隧道内列车运行场景的环境变量，研究种群预测与多样性保持策略，设计针对地下无线信道检测的动态多目标优化新算法；（2）从动态多目标优化机理出发，研究随时间（环境）变化的定时偏差、载波频偏和采样频偏等同步偏差，设计基于同步偏差与信道参数联合估计的时频双选信道检测算法；（3）通过EXIT图和“半分析”方法研究时频双选信道检测算法的性能，推导信道参数估计最优性能限值。

中文关键词： 信道检测；地下无线信道；动态多目标优化；高速移动通信；同步偏差

英文摘要： The wireless channel characteristics of the rail transit are the multipath and Doppler effect brought about by the limited space in the underground tunnel and the fast movement of the train, so the channel detection method of underground rail transit differs significantly from the ground.Intended Environment of traditional channel detection method has the static characteristics, which is hardly adapted to multiple fast-changing parameters of the measured channel, so the design of the optimal receiver is constrained. In order to break these design challenges, the project will utilise the dynamic multi-objective optimization idea to find the rapid detection scheme for time-frequency doubly selective channel, which may provide key technologies for optimum reception of wireless communication systems in underground rail. The project will emphatically study the following three questions. (1) By combining the cellular automata and differential evolution algorithm, splitting the environment variables of train scenes in tunnel and then analyzing the population prediction and maintaining population diversity strategy, a novel dynamic multi-objective optimization algorithm will be studied which is suitable for the channel detection for the underground rail transit.(2) Through the study of the timing offset, sampling frequency offset and carrier frequency offset, the novel channel detection of underground rail will be proposed based on joint synchronism error and channel estimation algorithm.(3) The performance of doubly selective channel detection algorithm will be investigated by EXIT chart and “Semi-analytical” and the optimal performance limits of the channel parameters estimation will be derived.

英文关键词： Channel detection;Underground wireless channel;Dynamic multiobjective optimization;High speed mobile communication;Synchronism error