Channel estimating method and system based on training sequence

Abstract

The invention discloses a channel estimation method based on training sequences, which is used for group sending service of a wireless communication network. The method of the invention comprises the following steps: 1) a sending step of the training sequences at a sending terminal: different positions of channel estimation windows are distributed for different cells, and the training sequences of the different cells are obtained according to the positions of the different channel estimation windows and added into to-be-sent downlink data, and then the downlink data are sent; 2) the channel estimation step at a receiving terminal: the training sequence information of the different cells and the position information of the channel estimation windows are obtained to estimate the channels ofthe different cells, and the channel impulse responses of the different cells are acquired and sent into a data inspection unit at the receiving terminal. The invention also correspondingly provides a channel estimation system based on the training sequences. The invention can avoid the interference of training sequences between different user devices in the cells when group sending service is carried out and avoid the interference of training sequences between the different cells, enhance the accuracy of channel estimation, and further improve the transmitting performance of the group sending service.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a training sequence-based channel estimation method and system in a group transmission service of a wireless communication system. Background technique [0002] The group sending service is a kind of service transmitted in broadcast mode, which is mostly used in the digital trunking communication system. In the group sending service, the base station transmitter can send the same service data to multiple user equipment receivers, and can also send different service data to multiple user groups, and these user groups are respectively composed of multiple user equipments in the cell. Since the user equipment in the user group is randomly distributed in the cell, and in this type of service, the base station cannot obtain the accurate location information of the user equipment in time, generally it is impossible to use the preprocessing algorithm to eliminate ...

AI Technical Summary

Problems solved by technology

However, when the group transmission service is transmitted in all directions, if the training sequence transmission method and estimation method similar to the unicast service are also used, the training sequence interference between user equipment and cells cannot be eliminated, which will eventually lead to inaccurate channel estimation results.

[0004] To sum up, the channel estimation technology based on the training sequence in the existing group transmission service obviously has inconvenience and defects in actual use, so it is necessary to improve it

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