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.
CN106559367AActive Publication Date: 2017-04-05UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Publication Date
2017-04-05

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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.
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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...

Claims

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