Rapid iteration beamforming method for use in millimeter wave precoding system

A beamforming and precoding technology, applied in transmission systems, radio transmission systems, diversity/multi-antenna systems, etc., can solve problems such as hypothetical failure and failure to achieve expected results

Inactive Publication Date: 2016-11-16
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As we all know, a basic assumption of antenna training is that the channel state does not change in a reasonable short period of time. If the training time lasts too long, the probability of a large change in the channel state will greatly increase, which will make this assumption invalid. It is inevitable that the expected effect cannot be achieved in practical application.
In addition, in addition to the iteration of the first stage, each subsequent iteration of the stage must perform a zero-space projection operation, which introduces additional errors and overhead.

Method used

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  • Rapid iteration beamforming method for use in millimeter wave precoding system
  • Rapid iteration beamforming method for use in millimeter wave precoding system
  • Rapid iteration beamforming method for use in millimeter wave precoding system

Examples

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Comparison scheme
Effect test

Embodiment

[0054] S1. Define the receiver dictionary matrix Define the sender dictionary matrix Among them, N represents the length of the receiving end dictionary, M represents the length of the receiving end dictionary;

[0055] S2. Build the angle quantization codebook, the receiving end codebook is The transmitter codebook is among them Is the codebook size, N T Is the number of transmitting antennas, N R In order to receive the number of antennas, in hardware implementation, you can directly adjust the phase according to the required phase here. Each antenna element only needs to adjust the phase without adjusting the amplitude. The adjustment of the phase is to quantize within different codebook sizes;

[0056] S3. Initial stage processing, specifically as follows:

[0057] S31. The sender generates an N T ×1 vector [1,0,0,…,0] T , And put it into the codebook, use the sparse signal recovery algorithm to estimate the initial vector r 0 , Will r 0 Is assigned to the variable β 0 : Β ...

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Abstract

The invention belongs to the technical field of wireless communication, and particularly relates to a method for rapidly obtaining a plurality of beamforming singular vectors at the same time by performing iteration through the channel reciprocity of a time division duplex system in a wireless multiple input multiple output (MIMO) communication system. The invention provides a rapid iteration antenna training method based on an LANCZOS algorithm. The convergence speed of an LANCZOS method is higher than that of a power iteration method, and a plurality of pairs of receiving-transmitting end beamforming singular vectors of multi-stream beamforming can be obtained by only one stage of iteration, so that the overhead of an antenna training stage is reduced exponentially, and antenna training is finished rapidly. The method has great practical significance.

Description

Technical field [0001] The present invention belongs to the field of wireless communication technology, and in particular relates to a wireless multiple input multiple output (Multiple Input Multiple Output, MIMO) communication system using the channel reciprocity of the time division duplex system to perform iterations to rapidly obtain multiple beamforming at the same time Singular vector method Background technique [0002] In the MIMO system, according to the criterion of maximizing the signal-to-noise ratio at the receiving end, the method of obtaining the optimal beamforming matrix is ​​the characteristic beamforming method. In the case that the channel state information (CSI) is known to both the sender and receiver, the optimal transmit and receive beamforming matrix can be obtained by SVD decomposition of the channel matrix H. The specific principle is described as follows: [0003] Assume that the number of transmit and receive antennas in the MIMO system is N T , N R ,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/04H04B7/06H04B7/08
CPCH04B7/0456H04B7/0617H04B7/0634H04B7/086
Inventor 娄念念成先涛
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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