公开(公告)号：US20230311959A1

公开(公告)日：2023-10-05

申请号：US17903669

申请日：2022-09-06

Applicant: BEIJING JIAOTONG UNIVERSITY

Inventor： Ming Chai ,  Qi Wang ,  Hongjie Liu ,  Jidong Lv ,  Shuai Su

IPC: B61L15/00

CPC classification number: B61L15/0063 ,  B61L15/0036

Abstract: A method for trains to establish a virtual coupling (VC) operation mode, which includes: successively determining whether adjacent preceding and following trains on a same line meet initial conditions and formation conditions of the VC; and performing VC on both trains meeting the initial conditions and formation conditions, and determining the VC of all trains on the line through the above determination method to obtain an overall VC. The method further including controlling operation of a leading train in the overall VC according to driving permission of the VC, and controlling operation of each of remaining following trains based on communication with the corresponding adjacent preceding train in combination with the following train's own driving information. An establishment process of forming a VC operation mode, thereby improving efficiency of train transportation and flexibility of organization and scheduling.

公开(公告)号：US10374902B2

公开(公告)日：2019-08-06

申请号：US15448255

申请日：2017-03-02

Applicant: Beijing Jiaotong University

Inventor： Ruisi He ,  Bo Ai ,  Qingyong Li ,  Qi Wang ,  Li'ao Gengyang ,  Ruifeng Chen ,  Zhangdui Zhong ,  Jian Yu

IPC: H04L12/28 ,  H04L12/24 ,  H04B7/0413

Abstract: A Kernel-power-density based method for wireless channel multipath components (MPCs) clustering. Signals get to the receiver from a transmitter via multipath propagation. MIMO channels can be modeled as double-directional, which contains the information of power, delay, direction of departure (DOD) and direction of arrival (DOA) of MPCs. The MPCs tend to appear in clusters. All the parameters of MPCs can be estimated by using high-resolution algorithms, such as MUSIC, CLEAN, SAGE, and RiMAX. Considering a data snapshot for a certain time with several clusters, which include a number of MPCs, where each MPC is represented by its power, delay, DOD and DOA. This invention adopts a novel clustering framework by using a density based method, which can better identify the local density variations of MPCs and requires no prior knowledge about clusters. It can work for the cluster oriented channel processing technology in future wireless communication field.

公开(公告)号：US20180131575A1

公开(公告)日：2018-05-10

申请号：US15448255

申请日：2017-03-02

Applicant: Beijing Jiaotong University

Inventor： Ruisi He ,  Bo Ai ,  Qingyong Li ,  Qi Wang ,  Li'ao Gengyang ,  Ruifeng Chen ,  Zhangdui Zhong ,  Jian Yu

IPC: H04L12/24 ,  H04B7/0413

CPC classification number: H04L41/14 ,  H04B7/0413 ,  H04L41/0803

Abstract: A Kernel-power-density based method for wireless channel multipath components (MPCs) clustering. Signals get to the receiver from a transmitter via multipath propagation. MIMO channels can be modeled as double-directional, which contains the information of power, delay, direction of departure (DOD) and direction of arrival (DOA) of MPCs. The MPCs tend to appear in clusters. All the parameters of MPCs can be estimated by using high-resolution algorithms, such as MUSIC, CLEAN, SAGE, and RiMAX. Considering a data snapshot for a certain time with several clusters, which include a number of MPCs, where each MPC is represented by its power, delay, DOD and DOA. This invention adopts a novel clustering framework by using a density based method, which can better identify the local density variations of MPCs and requires no prior knowledge about clusters. It can work for the cluster oriented channel processing technology in future wireless communication field.