Iteration frequency domain minimum mean square error equilibrium method under double-dispersion channel based on weighted score Fourier transformation

A minimum mean square error, dual dispersion channel technology, applied to equalizers and other directions, can solve problems such as signal energy dispersion

Active Publication Date: 2013-09-25
HARBIN INST OF TECH
View PDF5 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention is to solve the problem of the energy dispersion of the signal in the time domain and the frequency domain at the same time due to the inevitable introduction of multipath transmission and Doppler freq

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
  • Iteration frequency domain minimum mean square error equilibrium method under double-dispersion channel based on weighted score Fourier transformation
  • Iteration frequency domain minimum mean square error equilibrium method under double-dispersion channel based on weighted score Fourier transformation
  • Iteration frequency domain minimum mean square error equilibrium method under double-dispersion channel based on weighted score Fourier transformation

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0056] Specific implementation mode 1: The iterative frequency-domain minimum mean square error equalization method under the weighted fractional Fourier transform-based double dispersion channel of this implementation mode is implemented in the following steps:

[0057] 1. The sending end of the mixed carrier modulation system completes the mixed carrier modulation to obtain the time domain sequence x;

[0058] 2. Add a cyclic prefix to the time-domain sequence x obtained in step 1 and obtain a time-domain sampling sequence after parallel-to-serial conversion

[0059] 3. The time-domain sampling sequence in step 2 Serial transmission, after going through double dispersive channels, arrives at the receiving end of the mixed carrier modulation system;

[0060] 4. The receiving end of the hybrid carrier modulation system ignores the CP part, and each received time-domain sampling sequence y can be expressed as the convolution form of the sequence at the sending end of the hy...

specific Embodiment approach 2

[0119] Specific embodiment 2: The difference between this embodiment and specific embodiment 1 is that in step 1, the sending end of the hybrid carrier modulation system completes the hybrid carrier modulation to obtain the time domain sequence x, which is specifically:

[0120] At the sending end, the data bit sequence b with a length of NQ is mapped to an N-long QAM symbol sequence s after constellation modulation, and each Q bit {b n,0 ,...,b n,Q-1} is mapped to a symbol s n , perform -α-order WFRFT on the obtained QAM symbol sequence, and complete the mixed carrier modulation to obtain the time domain sequence:

[0121] x=F -α s=(w 0 I+w 1 F+w 2 A+w 3 f -1 )s

[0122] where F -α Represents -α-order normalized WFRFT matrix; I represents N×N unit matrix; F represents normalized discrete Fourier transform (discrete Fourier transform, DFT) matrix; A represents an N×N permutation matrix, its internal elements satisfied when when [A] n,m :=δ( N ) In addition, for -...

specific Embodiment approach 3

[0125] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is that in step six, the receiving end of the hybrid carrier modulation system performs a sampling point on the frequency corresponding to a certain subcarrier in the frequency domain received The linear MMSE estimation is specifically:

[0126] u ^ k = u ‾ k + g k H ( y k - H k u ‾ ) ,

[0127] where y k =[y k-D ,...,y k+D ] t , H k contains H df The k-D to k+D lines of the equalizer coefficient vector can be expressed as:

[0128] g k ...

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 an iteration frequency domain minimum mean square error equilibrium method under a double-dispersion channel based on weighted score Fourier transformation, and relates to an iteration frequency domain minimum mean square error channel equilibrium method in a mixed carrier wave communication system under a wireless double-dispersion channel or an underwater acoustic susceptance channel, in order to solve the problem of energy dispersion of signals on a time domain or a frequency domain at the same time. The method comprises the following steps that: firstly, a mixed carrier wave modulation system emitting end completes the mixed carrier wave modulation; secondly, a cyclic prefix is added for a time domain sequence x and is subjected to parallel-serial conversion; thirdly, a time domain sampling sequence is transmitted in serial; fourthly, the mixed carrier wave modulation system receiving end neglects a CP (computer program) part; fifthly, the time domain sampling sequence y is subjected to DFT (discrete Fourier transformation) at N points; sixthly, sampling points at the frequency corresponding to a certain sub carrier wave of the frequency domain are subjected to linear MMSE (minimum mean square error) estimation and N-point-stage WFRFT (weighted score Fourier transformation); seventhly, apriori information and Rho s=X(s, s) are estimated gradually; eighthly, the apriori information of the corresponding frequency domain is calculated; ninthly, the apriori information is fed back. The iteration frequency domain minimum mean square error equilibrium method under the double-dispersion channel based on weighted score Fourier transformation provided by the invention is applied to the mobile communication field.

Description

technical field [0001] The invention relates to an iterative frequency-domain minimum mean square error channel equalization method in a mixed carrier communication system under a wireless double-dispersion channel or an underwater sonar channel. Background technique [0002] With the development of land transportation, aerospace and submarine communication technologies, the channel environment experienced by communication systems is further complicated. Due to the large Doppler frequency shift caused by the high-speed relative movement of the communication parties, the signal of the future LTE system based on orthogonal frequency division multiplexing (OFDM) and single carrier (single carrier, SC) modulation Detection systems present challenges. Especially in communication environments such as high-speed rail, low-altitude aircraft, low-elevation satellites, and underwater sonar, the signal inevitably introduces multipath transmission and Doppler frequency shift when it pa...

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): H04L27/01
Inventor 沙学军王焜吴玮陈平白旭
Owner HARBIN INST OF TECH
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