Time-varying channel estimation method for millimeter wave multi-user MIMO system

A time-varying channel, millimeter-wave technology, applied in channel estimation, baseband systems, transmission systems, etc., can solve the problem of low signal-to-noise ratio at the receiving end, channel estimation methods cannot be effectively implemented, large-scale antennas increase spatial dimensions, unknown channel parameters, etc. question

Active Publication Date: 2017-08-04
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

In the mmWave MIMO system, channel estimation faces many challenges, such as the large mmWave path loss, resulting in a low signal-to-noise ratio (SNR) at the receiving end, and the introduction of large-scale antennas greatly increases the unknown channel parameters in the spatial dimension

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  • Time-varying channel estimation method for millimeter wave multi-user MIMO system

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Embodiment Construction

[0052] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and the detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0053] When using 28GHz carrier frequency and 100M bandwidth for downlink wireless communication, the number of transmitting antennas and receiving antennas are N T =16,N R =16, take the quantization order of the angle of arrival and angle of departure as G R =128,G T =128, the number of users is K=4, and the actual number of paths is L k =3(1≤k≤K), but L k It is unknown to the user, and the minimum number of paths known to the user is L min =1, the maximum value is L max =5, the threshold is is the noise power, Doppler frequency offset v k = 3KHz. The specific steps of ...

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Abstract

The invention discloses a time-varying channel estimation method for a millimeter wave multi-user MIMO system. Based on the sparse characteristics of a millimeter wave channel in an angle domain, a channel estimation method based on compressed sensing is adopted. The method comprises the following steps: (1) modeling a time-varying millimeter wave channel; (2) quantitatively expressing the millimeter wave channel; (3) modeling a time-varying millimeter wave channel estimation problem as a compressed sensing mode; (4) recovering the estimated number of paths, angles of arrival and angles of departure by using a modified block orthogonal matching pursuit (R-BOMP) algorithm; (5) designing an analog precoding matrix and a digital precoding matrix based on the estimated number of paths and angles of arrival; (6) designing an analog merge vector based on the estimated number of paths and angles of departure; and (7) solving a millimeter wave channel matrix based on the number of paths, the angles of arrival and the angles of departure that are estimated as well as the analog precoding matrix, the digital precoding matrix and the analog merge vector that are designed. By adopting the time-varying channel estimation method disclosed by the invention, the accuracy and spectrum efficiency of the millimeter wave channel estimation can be improved.

Description

[0001] Technical field: [0002] The present invention relates to a method for channel estimation by a receiver when a base station and a mobile terminal perform uplink and downlink communication in a time-varying millimeter wave channel, specifically a method for a millimeter wave multi-user multiple-input multiple-output (MIMO) system A time-varying channel estimation method belongs to the technical field of wireless communication. [0003] Background technique: [0004] In order to meet the requirement of high-speed information transmission, the wireless communication system needs accurate channel state information (CSI). Under the time-varying channel, due to the existence of a large number of unknown channel coefficients, traditional channel estimation methods, such as least squares (LS) method and minimum mean square error (MMSE) method, will lead to huge pilot overhead. A large number of experimental studies have found that as the bandwidth and symbol period of the comm...

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Application Information

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IPC IPC(8): H04L25/02H04B7/0452H04B7/0456
CPCH04B7/0452H04B7/0456H04L25/0202H04L25/0242
Inventor 秦启波归琳张弦宫博
Owner SHANGHAI JIAO TONG UNIV
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