Non-iterative channel estimation method in bidirectional MIMO relay system

A channel estimation and relay system technology, applied in the field of non-iterative channel estimation, can solve the problems of high complexity and high computational complexity, and achieve the effect of reducing the burden

Active Publication Date: 2018-06-01
COMMUNICATION UNIVERSITY OF CHINA
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this channel estimation method needs to use iterative alternating least squares algorithm (ALS) to fit the tensor model, so the computational complexity of this method is high, especially when the ALS algorithm falls into a local cycle, this method has high complexity

Method used

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
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Non-iterative channel estimation method in bidirectional MIMO relay system
  • Non-iterative channel estimation method in bidirectional MIMO relay system
  • Non-iterative channel estimation method in bidirectional MIMO relay system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] See image 3 , image 3 is a channel estimation performance diagram of the present invention under different channel training sequence lengths L. The system parameters are: M 1 = M 2 = 3, M R =3, the channel correlation coefficient ρ=0. image 3 It shows that with the increase of the length of the pilot training signal, the NMSE of the channel decreases accordingly. This is due to the increase of information used to estimate the channel, and the channel estimation accuracy of the proposed algorithm is improved.

Embodiment 2

[0052] See Figure 4 , Figure 4 is the channel estimation performance diagram of the present invention under different number K of channel training sequences. The system parameters are: M 1 = M 2 = 3, M R =3, ρ=0. Figure 4 It shows that with the increase of the number of pilot training signals, the NMSE of the channel decreases accordingly. Similarly, due to the increase in the number of pilot training signals, the information used to estimate the channel increases, and the estimation accuracy of the proposed algorithm is also improved.

Embodiment 3

[0054] See Figure 5 , Figure 5 It is a comparison chart of channel estimation performance between the present invention and existing methods when ρ=0.3.

[0055] The system parameters are: M 1 = M 2 = 3, M R =3, K=4, L=10, ρ=0.3. Figure 5 shows that for H (R2) The existing channel estimation method is better than the proposed method, because the existing method uses the relay to send the pilot signal to user 2, and directly estimates H at the user 2 end (R2) , so the performance is better than the proposed method. However, this method requires a separate estimation of the channel H at the user 2 end (R2) , and the proposed method can simultaneously estimate H (1R) and H (R2) . while for H (1R) , the proposed method is significantly better than the existing channel estimation methods. Because for the estimated H (1R) . The existing methods have the phenomenon of error propagation, but the proposed method is a joint estimation, which does not exist.

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

PUM

No PUM Login to view more

Abstract

The invention relates to a non-iterative channel estimation method in a bidirectional multiple input multiple output (MIMO) relay system. For the bidirectional MIMO relay system, the problem that in an existing channel estimation method, the load of a relay node is excessive and the channel estimation precision is relatively low is mainly solved. The method comprises the realization steps of 1), abidirectional MIMO relay channel model of a matrix form is established; 2), two users sends quadrature channel training sequences to a relay at the same time; 3), the relay amplifies received signalsthrough adoption of a designed amplification factor and forwards the amplified signals to the users; 4), each user rearranges the received signals and establishes two matrixes with Khatri-Rao productstructures; and 5), designing a low complexity algorithm according to the special structures of the established matrixes, and estimating all channel state information of the system. The method has the advantages of fast channel estimation speed and high channel estimation precision, and the method is applicable to both a time division system and a frequency division system.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a non-iterative channel estimation method in a two-way MIMO relay system Background technique [0002] Complex wireless communication environments, such as shadowing effects, multipath fading, and interference, affect correct decoding at the remote receiver. This problem has become a major obstacle to the development of modern wireless communication. The combination of multiple-input multiple-output (MIMO) and relay technology can overcome the shadow effect, expand network coverage, provide higher spectral efficiency, and further improve the performance of wireless communication systems. MIMO relay communication system has become a current research hotspot, which has attracted great attention from both academia and industry. [0003] In order to correctly decode and optimize a relay communication system, the channel state information (CSI) of the system i...

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

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02
CPCH04L25/0204H04L25/024
Inventor 杜建和花妍张鹏
Owner COMMUNICATION UNIVERSITY OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap