Rapid iteration wave beam shaping method based on channel space sparseness

A sparse characteristic and beamforming technology, applied in space transmit diversity, radio transmission system, electrical components, etc., can solve the problems that the expected effect cannot be achieved, and the hypothesis loses its effect.
CN104935367AInactive Publication Date: 2015-09-23UNIV OF ELECTRONICS SCI & TECH OF CHINA
3 Cites 16 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Publication Date
2015-09-23
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention belongs to the technical field of wireless communication, and especially relates to a method which reduces the antenna training cost of iteration wave beam shaping by utilizing the channel space sparseness in a wireless MIMO communication system. The rapid iteration wave beam shaping method based on channel space sparseness comprises the steps of initialization, LANCZOS iteration, cycled iteration control and the like. In the time division duplex MIMO system, Uplink and downlink channels can be interchanged, iterated antenna training is carried out by introducing the LANCZOS algorithm, the channel space sparseness is utilized, problems in estimating reception vectors in the iteration process is modeled into a sparse reconstruction problem, theory related to compressed sensing further reduce cost of iteration training, and antenna training is completed at an extremely high speed.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention belongs to the technical field of wireless communication, and in particular relates to a method for reducing the antenna training overhead of iterative beamforming by using the space sparsity of the channel in a wireless MIMO communication system. Background technique

[0002] In MIMO systems (such as figure 1 As shown in ), according to the principle 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 (CSI) is known to both the transmitter and receiver, the optimal transmit and receive beamforming matrices can be obtained by decomposing the channel matrix H through SVD. The specific principles are described as follows:

[0003] Assume that the number of transmit and receive antennas in the MIMO system is N T , N R , the channel matrix SVD decomposition can be performed, expressed as H=UΛV H ,in,(·) H ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More