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Iterative beam forming method based on compressed sensing

A beamforming and compressed sensing technology, applied in diversity/multi-antenna systems, space transmit diversity, electrical components, etc., and can solve problems such as high antenna training overhead

Inactive Publication Date: 2016-08-31
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Abstract
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Problems solved by technology

[0011] In order to overcome the defect that the antenna training overhead of the power iteration method is too large in the massive MIMO system, the present invention proposes an iterative beamforming method based on compressed sensing

Method used

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  • Iterative beam forming method based on compressed sensing
  • Iterative beam forming method based on compressed sensing
  • Iterative beam forming method based on compressed sensing

Examples

Experimental program
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Effect test

Embodiment

[0051] S1. Use the geometric model of the sparse multipath channel to perform sparse modeling, express the estimation problem of the received signal associated with the channel as a recovery problem of the sparse signal, and define the dictionary matrix at the receiving end

[0052]

[0053] Among them, N represents the length of the dictionary at the receiving end. The larger the N, the finer the quantization, and the smaller the quantization error. Define the dictionary matrix at the sending end Among them, M represents the length of the dictionary at the receiving end, and the larger the M, the finer the quantization and the smaller the quantization error;

[0054] S2. Initial stage processing, as follows:

[0055] S21. The sender generates an N T ×1 vector f=[1,0,0,...,0] T And normalized as the initial vector, where, N T is the number of receiving antennas;

[0056] S22. Define the measurement times Nmr of the sending end and the receiving end in this process resp...

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Abstract

The invention belongs to the technical field of wireless communications, and particularly relates to a method for reducing antenna training overhead of iterative beam forming by using sparsity among channels in a wireless multiple input multiple output (MIMO) communication system. The invention provides an iterative beam forming method based on compressed sensing. According to the method, the estimation problem of a reception vector in millimeter-wave MIMO antenna training is transformed into a sparse reconstruction problem by using the spatial sparsity of millimeter-wave channels, so that the overhead of a power iteration method is further reduced by 50-60% with tiny performance loss using the relevant theory of compressed sensing.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a method for reducing antenna training overhead of iterative beamforming by using inter-channel sparsity in a wireless Multiple Input Multiple Output (MIMO) communication system. Background technique [0002] In MIMO systems, according to the criterion of maximizing the signal-to-noise ratio at the receiving end, the method to obtain the optimal beamforming matrix is ​​the eigenbeamforming method. When the channel state information (Channel Statement Information, CSI) is known to both the transmitter and receiver, the optimal transmit and receive beamforming matrices can be obtained by performing singular value decomposition (SVD) on the channel matrix H. [0003] The specific principles are described as follows: [0004] Assume that the number of receiving antennas in the MIMO system is N T , the number of transmitting antennas is N R , the channel ...

Claims

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Application Information

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IPC IPC(8): H04B7/04H04B7/06
CPCH04B7/0413H04B7/0617
Inventor 娄念念成先涛
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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