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Angle domain channel tracking method under large-scale MIMO high-speed moving scene

A high-speed mobile, angle domain technology, applied in channel estimation, radio transmission systems, electrical components, etc., can solve the huge computational complexity of massive MIMO channels with high-dimensional characteristics of base stations, increased channel training times, and shortened coherence time.

Active Publication Date: 2018-09-04
ARMY ENG UNIV OF PLA
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AI Technical Summary

Problems solved by technology

In high-speed rail communication scenarios, frequent channel training will bring huge pilot overhead
In addition, due to the shortened coherence time and the increased number of channel training times, the high-dimensional nature of massive MIMO channels will bring huge computational complexity to the base station

Method used

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  • Angle domain channel tracking method under large-scale MIMO high-speed moving scene
  • Angle domain channel tracking method under large-scale MIMO high-speed moving scene
  • Angle domain channel tracking method under large-scale MIMO high-speed moving scene

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Embodiment Construction

[0065] The following is based on Figure 1 to Figure 6 The specific embodiment of the present invention is further described:

[0066] see image 3 , an angle-domain channel tracking method in a massive MIMO high-speed mobile scenario, comprising the following steps:

[0067] Step 1: Obtain initial channel state information: the base station adopts traditional training schemes, such as minimum mean square error, to obtain initial channel state information;

[0068] Step 2: Obtain the user position: perform beam alignment through the initial channel state information and discrete Fourier transform, and obtain the optimal beam rotation angle and the strongest beam sequence number, thereby calculating the user's initial angle of arrival (direction of arrival, DOA), through Calculate the location information of different users to obtain the angle beamforming matrix;

[0069] Step 3: Obtaining the Angle Correlation Time (DOAT): Due to the limited angular resolution of the base s...

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Abstract

The invention discloses an angle domain channel tracking method under a large-scale MIMO high-speed moving scene. The angle domain channel tracking method comprises the following steps: acquisition ofstate information of an initial channel; acquisition of positions of users; acquisition of an angle correlation time; user grouping and pilot frequency multiplexing: grouping according to active beamsets of the users, the grouping method being that an intersection set of active beam sets of any two users in a same group is a null set, and allocating orthogonal pilot frequency sequences to different groups, a same pilot frequency being multiplexed by users in the same group; and angle domain channel tracking: performing discrete Fourier transform on the channel and tracking a beam gain of a strongest beam of the users, establishing a state space for channel tracking in adjacent time intervals by using time correlation of adjacent moments, constructing an angle domain channel state space,and performing prediction or modification on a channel gain at a present moment, thus implementing the angle domain channel tracking. According to the angle domain channel tracking method, the numberof times for sending the pilot frequency and the length of a pilot frequency sequence can be effectively reduced; and thus, the pilot frequency overhead is reduced, and the computation complexity forchannel training is effectively reduced.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, relates to channel estimation technology in wireless communication, is an angle-domain channel tracking method in a high-speed mobile scene of a user, and particularly relates to an angle-domain channel tracking method in a massive MIMO high-speed mobile scene. Background technique [0002] In the high-speed rail wireless communication, the train speed is as high as 300 km / h. The channel exhibits fast time-varying characteristics. Traditional channel training methods are difficult to obtain channel state information effectively. "T.Li, X.Wang, P.Fan and T.Riihonen, ``Position-Aided Large-Scale MIMO Channel Estimation for High-Speed ​​Railway Communication Systems," in IEEE Transactions on Vehicular Technology, vol.66, no.10 , pp.8964-8978, Oct.2017.", "X.Chen, J.Lu, T.Li, P.Fan and K.B.Letaief, ``Directivity-Beamwidth Tradeoff of Massive MIMO Uplink Beamforming for HighSpeed ​​Tr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0413H04L25/02
CPCH04B7/0413H04L25/0202
Inventor 许魁沈哲贤王雨榕谢威张冬梅
Owner ARMY ENG UNIV OF PLA
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