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MIMO-OFDM system millimeter wave channel estimation method based on low-rank tensor decomposition

A technology of MIMO-OFDM and tensor decomposition, applied in the field of millimeter wave communication, which can solve the problems of resource consumption and increased training overhead.

Active Publication Date: 2017-04-05
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] But as the number of antennas increases, it will lead to an increase in training overhead
Other algorithms need to establish a feedback channel between the base station and the user end, which consume more resources

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  • MIMO-OFDM system millimeter wave channel estimation method based on low-rank tensor decomposition
  • MIMO-OFDM system millimeter wave channel estimation method based on low-rank tensor decomposition
  • MIMO-OFDM system millimeter wave channel estimation method based on low-rank tensor decomposition

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[0044] The technical solution of the present invention will be described in detail below in combination with the embodiments and the accompanying drawings.

[0045] A millimeter-wave channel estimation method for MIMO-OFDM systems based on low-rank tensor decomposition, the specific steps are as follows:

[0046] S1. Construct the received signal into a tensor, as follows:

[0047] Hypothesis F k (t) = F(t), s k (t)=s(t), then the received signal can be expressed as: Y k =Q T h k P+W k ,in, p(t)=F RF F(t)s(t), Represents the channel matrix associated with the kth subcarrier, t=1,2,...,T;

[0048] Since signals arriving at the MS from multiple subcarriers are available, the received signal can represent .

[0049] Write the received signal as a third-order tensor Then the expression of receiving matrix is ​​as follows:

[0050] in, Represents the path gain of the lth path of the kth subcarrier, and Denote the antenna array response vectors of the mobi...

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Abstract

The invention belongs to the technical field of millimeter wave communication, and specifically relates to an algorithm for combined estimation of a downlink channel by employing tensor low-rank CANDECOMP / PARAFAC decomposition (CP decomposition). The invention provides a MIMO-OFDM system millimeter wave channel estimation method based on low-rank tensor decomposition. According to the method, signals received by a base station form a third-order tensor, CP decomposition exists in the tensor, the low-rank property in the tensor guarantees the uniqueness of CP decomposition according to the sparse scattering property of the millimeter wave channel, the tensor can be uniquely decomposed into a series of linear combinations of first-order tensors through CP decomposition, and related parameters of the channel, such as the arrival phase, the time delay, and the fading coefficient etc., can be estimated through a decomposed factor matrix.

Description

technical field [0001] The invention belongs to the technical field of millimeter wave communication (millimeter wave communication), and in particular relates to an algorithm for jointly estimating a downlink channel by using tensor low-rank CANDECOMP / PARAFAC decomposition (CP decomposition). Background technique [0002] Millimeter wave communication is a very promising technology in future cellular networks. The large amount of available bandwidth in the millimeter wave band can provide gigabit per second communication data rates. However, the huge signal attenuation at high frequencies is currently a major challenge for system design. In order to overcome the path loss, in millimeter wave communication, it is necessary to arrange large-scale antenna arrays at base stations and mobile stations to obtain effective beamforming gains. . Since channel estimation is crucial for precoding or beamforming, we need to study an accurate channel estimation algorithm. [0003] In t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02
CPCH04L25/0204H04L25/022
Inventor 方俊张丹周舟
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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