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Wireless channel prediction technique aiming at railcar traffic

A technology of wireless channel and prediction method, applied in baseband system components and other directions, can solve the problems of limited prediction accuracy and short prediction time, and achieve the effect of reducing the number of

Active Publication Date: 2008-10-01
EASYWAY
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Problems solved by technology

[0007] Aiming at the problems of short prediction time and limited prediction accuracy in the existing wireless channel prediction methods, the present invention proposes a learning-based channel prediction method for the characteristics of rail transit

Method used

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  • Wireless channel prediction technique aiming at railcar traffic
  • Wireless channel prediction technique aiming at railcar traffic
  • Wireless channel prediction technique aiming at railcar traffic

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Embodiment Construction

[0025] Theoretically, the channel state information is determined by the propagation path and time of the radio wave. If all the scatterer environment (the physical position of the scatterer, the reflection coefficient and the relative position to the transceiver antenna) from transmission to reception are known, Then the channel state information can be accurately predicted according to the incoming wave direction and arrival time of a specific location. In the rail traffic environment, most of the scattering objects are stationary, and the time-varying channel is mainly caused by the movement of the train itself. In fact, the channel state information of a train at a certain position can be obtained through the statistics of multiple measurement data at this point. Based on this idea, the present invention proposes a wireless channel prediction method applied to rail transit.

[0026] The following examples illustrate the application of the present invention in rail transit...

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Abstract

A wireless channel forecast method aiming at rail transportation is disclosed, belonging to the technical field of wireless and mobile communication, characterized in that the method comprises the following steps of: using channel measurement means to record channel state of rail lines to obtain a large number of test data samples of the channel state information, and meanwhile to record the geological location coordinates of the train; performing statistics analysis to the large number of data samples of the channel, establishing corresponding relationship between the geological location coordinates of the train and the corresponding channel state information; in actual communication process, calculating an operating location in a future time by the train in accordance with the current operating location and speed, searching for the corresponding channel state information from the corresponding relationship so as to forecast the channel; then correcting the forecast result by means of sending pilot frequency; applying the channel state information obtained through forecast to the sending terminal.

Description

technical field [0001] The invention relates to a wireless channel prediction method for rail traffic, which belongs to the technical field of wireless and mobile communication. Background technique [0002] With the continuous development of wireless communication and network technology, the needs of the majority of users for mobile communication have gradually shifted from a single voice service to multimedia services. The rail transit system also needs to provide corresponding wireless communication services to meet the transmission of train control safety information. And passengers' demand for voice and data services. This puts forward higher requirements on the capacity of the wireless communication system, and some new technologies need to be adopted to realize high dynamic, high-speed and reliable wireless communication. However, many techniques need to know the instantaneous information of the channel to achieve optimal performance. Incorrect or delayed channel in...

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Application Information

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IPC IPC(8): H04L25/02
Inventor 李云洲周世东张焱王京周春晖刘杉坚芮艳华
Owner EASYWAY
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