Blind signal to noise ratio estimation method based on multiple input multiple output (MIMO)-orthogonal frequency division multiplexing (OFDM) signal cyclostationarity

A MIMO-OFDM and 1MIMO-OFDM technology is applied in the field of blind signal-to-noise ratio estimation based on the cyclostationary characteristics of MIMO-OFDM signals, and can solve the problems of lack of relevant research on blind signal-to-noise ratio estimation methods and poor performance of SNV methods.

Inactive Publication Date: 2011-11-23
NINGBO UNIV
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods have different problems in use. For example, the SSME method can only estimate the signal-to-noise ratio under the Gaussian white noise channel under the binary phase shift keying (Binary Phase Shift Keying, BPSK) modulation, while the SNV met

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
  • Blind signal to noise ratio estimation method based on multiple input multiple output (MIMO)-orthogonal frequency division multiplexing (OFDM) signal cyclostationarity
  • Blind signal to noise ratio estimation method based on multiple input multiple output (MIMO)-orthogonal frequency division multiplexing (OFDM) signal cyclostationarity
  • Blind signal to noise ratio estimation method based on multiple input multiple output (MIMO)-orthogonal frequency division multiplexing (OFDM) signal cyclostationarity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be described in further detail below in conjunction with the embodiments of the drawings.

[0037] The present invention proposes a blind signal-to-noise ratio estimation method based on the cyclostationary characteristics of MIMO-OFDM signals. Its basic principle is: based on the cyclostationary characteristics of OFDM signals, the length of the cyclic suffix of the OFDM signals is appropriately selected so that the self-transmission of each transmitted signal The correlation function has different zeros and different cyclic frequencies can be selected to convert the MIMO channel into multiple single-input single-output channels, and then analyze the periodic autocorrelation function of the received signal The law of energy distribution, combined with approximate approximation theory, finally realizes the blind estimation of the signal-to-noise ratio. The main steps are as follows:

[0038] ① In the method of the present invention, each channel o...

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 blind signal to noise ratio estimation method based on multiple input multiple output (MIMO)-orthogonal frequency division multiplexing (OFDM) signal cyclostationarity. A MIMO channel can be effectively converted into a plurality of single input single output channels by utilizing own cyclostationarity of an OFDM signal transmitted by a MIMO-OFDM system and selecting a proper cyclic suffix length and different null points of a cycle autocorrelation function of a transmission signal, and the signal to noise ratio of each channel in a multi-path environment can be accurately estimated by utilizing second-order statistic. Compared with the conventional training-sequence-based signal to noise ratio estimation method, the invention increases the frequency band utilization rate of the MIMO-OFDM system, ensures high estimation speed and simultaneously avoids reduction in estimation precision.

Description

Technical field [0001] The present invention relates to a method for estimating signal-to-noise ratio, in particular to a method for blind signal-to-noise ratio estimation based on the cyclostationary characteristics of MIMO-OFDM signals. Background technique [0002] From the 2G era to the 3G era, although the 3G system has increased the transmission rate by nearly a hundred times, it still cannot meet the needs of future multimedia communication. As a supplement to the 3G system, the fourth-generation mobile communication system is proposed to meet more Large frequency band demand. MIMO (Multiple Input Multiple Output, Multiple Input Multiple Output) technology and OFDM (Orthogonal Frequency Divided Multiplexing, Orthogonal Frequency Divided Multiplexing) technology as key technologies of 4G systems have been generally recognized. As a combination product of MIMO and OFDM technologies, MIMO-OFDM technology not only has the characteristics of fast transmission rate, high spectr...

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): H04L25/03H04L27/26
Inventor 李有明洪顺利高瑶金明
Owner NINGBO UNIV
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