Unlock instant, AI-driven research and patent intelligence for your innovation.

A robust symbol detection method against phase noise based on k-means clustering

A phase noise and detection method technology, which is applied in the field of wireless transmission, can solve the problems of system transmission efficiency reduction, excessive overhead, and inability to completely eliminate, so as to achieve the effect of phase noise

Active Publication Date: 2020-11-13
NANJING UNIV OF POSTS & TELECOMM
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, fine synchronization can only further reduce phase noise but cannot completely eliminate it, and it will increase more overhead, resulting in lower system transmission efficiency

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
  • A robust symbol detection method against phase noise based on k-means clustering
  • A robust symbol detection method against phase noise based on k-means clustering
  • A robust symbol detection method against phase noise based on k-means clustering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0031] The invention provides a robust symbol detection method based on K-means clustering against phase noise, which is described in detail by taking a MIMO-OFDM system composed of a base station and two users as an example. Assuming that the timing of the first user is accurate, the timing error of the second user needs to be compensated, and the modulation method is 4QAM. The overall flow chart is as follows figure 1 shown, including the following steps.

[0032] Step 1: Separate the real part and the imaginary part of the original signal data, treat it as two-dimensional data, and select the constellation point corresponding to the modulation mode as the initial center point; the original si...

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 robust symbol detection method based on K-means clustering against phase noise, comprising the following steps: S01, selecting the constellation point corresponding to the modulation mode as the initial center point; S02, calculating the original signal data and each center Classify the Euclidean distance between points; S03, recalculate the center of each class; S04, judge whether the total change in distance between the center iterated in S03 and the center iterated in S02 is less than threshold A, less than or equal to enter S05, greater than return to S02; S05, use the center point to replace the points in the entire class for demodulation, select the class center point with the smallest distance to pair with the constellation point; S06, remove the currently paired class center and constellation point from the original set Delete; S07, if there are still unpaired center and constellation points, return to S05, if all center points have been paired, enter S08; S08, complete the current signal demodulation process; S09, carry out the next batch of signal data Symbol detection, go to S01. The robust symbol detection method against phase noise based on K-means clustering of the present invention can suppress the phase noise, reduce the detection bit error rate, and does not require additional system overhead.

Description

technical field [0001] The invention relates to a robust symbol detection method against phase noise based on K-means clustering, and belongs to the field of signal detection methods in the field of wireless transmission. Background technique [0002] In a Multiple Input Multiple Output (MIMO)-Orthogonal Frequency Division Multiplexing (OFDM) system, especially a distributed MIMO-OFDM system, the base station needs to communicate with multiple users at the same time. Due to the different geographical locations of the antennas of the base station, the time delay between each antenna and the user is different, and the timing deviation caused by the time delay will cause the phase rotation of the signal, which greatly increases the difficulty and accuracy of system demodulation. Therefore, the base station needs to estimate the time delay of each user and use channel equalization technology to compensate, and the estimation error caused by interference such as noise will still ...

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 Patents(China)
IPC IPC(8): H04L27/26G06K9/62
CPCH04L27/2647H04L27/2649H04L27/2697G06F18/23213
Inventor 侯晓赟凌捷张永伟赵水静
Owner NANJING UNIV OF POSTS & TELECOMM