Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and device for detecting signals in multi-input and multi-output system

A detection signal and multi-output technology, applied in the field of communication, can solve problems such as low stability and high computational complexity, and achieve the effect of reducing computational complexity

Active Publication Date: 2011-03-30
HUAWEI TECH CO LTD
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In the prior art, when signal detection is implemented in a MIMO system, the estimated value of the transmitted signal to be detected is calculated by the initial value of the estimated error covariance matrix Q, and when calculating the initial value of the estimated error covariance matrix Q, due to the matrix calculation The inverse step not only achieves low stability, but also requires relatively high computational complexity when recursing the initial value of Q, resulting in unnecessary calculations

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
  • Method and device for detecting signals in multi-input and multi-output system
  • Method and device for detecting signals in multi-input and multi-output system
  • Method and device for detecting signals in multi-input and multi-output system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] See figure 1 This embodiment provides a method for detecting signals in a multiple-input multiple-output system. The process of the method is as follows:

[0027] 101: Perform channel estimation according to the acquired received signal to obtain a channel matrix H;

[0028] 102: According to the channel matrix H, the inverse matrix R of the estimated error covariance matrix Q of all the transmitted signals to be detected is calculated;

[0029] 103: Decompose the inverse matrix R of the estimation error covariance matrix Q, and according to the result of the decomposition, the conjugate matrix H of the channel matrix H H And the received signal vector r to obtain the estimated values ​​of all the transmitted signals to be detected.

[0030] This embodiment decomposes the inverse matrix R of the estimated error covariance matrix Q, and according to the result of the decomposition, the conjugate matrix H of the channel matrix H H And the received signal vector r, to obtain the e...

Embodiment 2

[0032] This embodiment provides a method for detecting signals in a multiple input multiple output system, such as figure 2 The shown multiple input multiple output system, transmitting signal a 1 ,..., a M They are respectively transmitted through M different transmitting antenna units a-1,..., a-M, and correspondingly, the received received signal r 1 ,..., r N They are received from N different receiving antenna units b-1,..., b-N. In this system, the number of transmitting antenna elements M is at least 2, and the number of receiving antenna elements N is at least M. Receive signal r 1 ,..., r N It is processed in the digital signal processor to produce the recovered transmit signal ..., figure 2 It also shows the summation components c-1, c-2,..., c-N, which represent the unavoidable noise signal w 1 , W 2 ,..., w N , These noise signals are respectively added to the received signals received by the receiving antenna units b-1, b-2,..., b-N.

[0033] The channel matrix H ...

Embodiment 3

[0059] This embodiment provides a method for detecting signals in a multiple-input multiple-output system. This embodiment takes an interference cancellation receiver for signal detection as an example. When an interference cancellation receiver is used for signal detection, the following steps are usually adopted:

[0060] a) Select one transmission signal each time as the current transmission signal to be detected, and use the linear minimum mean square error receiver to detect, and obtain the detection result of the current transmission signal to be detected;

[0061] b) Use the detection result of the current transmission signal to be detected to eliminate the interference of the current transmission signal to be detected on subsequent detections, and obtain the detection result of the next transmission signal to be detected;

[0062] c) Iterate steps a and b several times until all the transmitted signals are detected.

[0063] Specifically, for the detection result of the current...

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 discloses a method and a device for detecting signals in a multi-input and multi-output system, which belongs to the field of communication. The method comprises the following steps of: carrying out channel estimation according to obtained receiving signals to obtain a channel matrix H; obtaining an inverse matrix R of an estimation error covariance matrix Q of all emitting signals to be detected according to the channel matrix H; decomposing the inverse matrix R of the estimation error covariance matrix Q; and obtaining the estimation value of all emitting signals to be detected according to the decomposing results, a conjugate matrix HH of the channel matrix H and the receiving signal vector r. The device comprises a channel estimation module, a calculating module, a decomposing module and a detection module. Through decomposing the inverse matrix R of the estimation error covariance matrix Q and adopting a Gaussian elimination method, the invention realizes the signal detection, avoids the matrix inversion during the signal detection, and reduces the calculation complexity during the signal detection.

Description

Technical field [0001] The present invention relates to the field of communications, and in particular to a method and device for detecting signals in a multiple input multiple output system. Background technique [0002] According to information theory, the simultaneous use of multiple antenna arrays at the transmitting and receiving ends of a communication system can greatly increase the transmission bit rate. The MIMO (Multiple-Input Multiple-Out-put) system that uses multiple antenna arrays at the transmitter and receiver at the same time can not only increase the transmission bit rate, but also improve the reliability of the channel and reduce the bit error rate. . Therefore, the application of the MIMO system is of great significance in the communication field. However, to further promote the application of more MIMO system theoretical research results, the problem of signal detection must be solved first. [0003] The prior art method for realizing signal detection in a M...

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
IPC IPC(8): H04W24/00H04B17/00H04L25/02
Inventor 朱胡飞陆小凡葛莉玮
Owner HUAWEI TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com