Digital signal transmission method and system based on multi-carrier pseudorandom sequence

A technology of pseudo-random sequence and transmission method, which is applied in the field of digital signal transmission method and system based on multi-carrier pseudo-random sequence, and can solve problems such as computer impossibility

Active Publication Date: 2010-09-08
TSINGHUA UNIV
View PDF6 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Taking the sequence of length 256 as an example, the search amount reaches 10 77 The order of magnitude is impossible for current computers to realize

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
  • Digital signal transmission method and system based on multi-carrier pseudorandom sequence
  • Digital signal transmission method and system based on multi-carrier pseudorandom sequence
  • Digital signal transmission method and system based on multi-carrier pseudorandom sequence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0108] This embodiment takes the PN-MC with a length of 256 as an example to specifically describe the selection method of the PN-MC sequence in the method of the present invention and the digital signal transmission method based on the optimal PN-MC sequence. The PN-MC sequence is obtained by inverse discrete Fourier transform of any binary sequence with a value of {±1}, and the time-domain power peak-to-average ratio criterion is used as the optimal sequence selection criterion. The specific steps are as follows:

[0109] S101. selected PN-MC sequence length N=256, the discrete Fourier transform C of PN-MC is divided into equal 16 segments, denoted as C 1 , C 2 ,...,C 16 , the length of each section is L=16, and all elements of the initialized C sequence are set to 0;

[0110] S102. Note i=1, make sequence C 1 Take the value in {±1} to get a new sequence C', perform 256-point discrete Fourier inverse transform on the sequence C' to get a PN-MC sequence, calculate the peak...

Embodiment 2

[0123] This embodiment takes the PN-MC sequence with a length of 256 as an example, and specifically illustrates the construction and selection method of the PN-MC sequence under the optimal criterion of the autocorrelation quality factor of the discrete Fourier transform, and the autocorrelation quality based on the discrete Fourier transform A digital signal transmission method for factor-optimal PN-MC sequences. The specific steps of the PN-MC selection method under the optimal criterion of the autocorrelation quality factor of the discrete Fourier transform are as follows:

[0124] S201. The length of the selected PN-MC sequence is 256, and the order of the m sequence is 8;

[0125] S202. Select the generator polynomial and initial phase generated by the 8th-order m-sequence. There are 16 generator polynomials and 255 initial phases in the 8th-order m-sequence. According to the generator polynomial and the initial phase, construct an m-sequence {PN(k)} with a length of 255...

Embodiment 3

[0151] In this embodiment, the PN-MC with a length of 420 is taken as an example to specifically illustrate the optimal sequence selection method when multiple criteria are jointly considered. For example, it is hoped that the time-domain power peak-to-average ratio of the PN-MC sequence is low and the autocorrelation of the discrete Fourier transform is good. You can define the parameter to be investigated A=MF / PAPR, and select the PN-MC with the largest A as the optimal sequence; or hope that the PN- The MC sequence has good autocorrelation in both the time domain and the discrete Fourier transform domain, and the parameter to be investigated can be defined as B=MF·F part , select the PN-MC sequence with the largest B as the optimal sequence. In the following, low peak-to-average ratio of time-domain power and good autocorrelation of discrete Fourier transform are used as the optimal sequence selection criterion, and a PN-MC sequence with a length of 420 is constructed by m-...

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 digital signal transmission method and system based on a multi-carrier pseudorandom sequence. The method comprises the steps of: carrying out coding and modulation treatment on data to be transmitted to generate a data block to be transmitted; carrying out framing on the data block to be transmitted and a selected multi-carrier pseudorandom sequence to obtain a data frameto be transmitted; and carrying out digital-to-analogue conversion and RF (Radio Frequency) modulation treatment on the data frame to be transmitted and sending. The method and system can obtain the needed multi-carrier pseudorandom sequence used as data assistance with the least time and provides more accurate and reliable parameter estimation for digital signal transmission.

Description

technical field [0001] The invention relates to the technical field of digital information transmission, in particular to a digital signal transmission method and system based on a multi-carrier pseudo-random sequence. Background technique [0002] In digital communication systems, accurate and reliable parameter estimation is critical for data recovery. Common parameter estimation methods include blind estimation and data-aided (Data Aided, DA) parameter estimation. Among them, data-aided parameter estimation has the advantages of accurate estimation, fast reliability, and simple implementation, and is widely used in digital communication systems. [0003] A training sequence (Training Sequence, TS) is a kind of auxiliary data, a known sequence is added to the transmitted signal, and various transmission parameters can be estimated at the receiving end by means of the known sequence. Common training sequences include PN (Pseudo-Noise, pseudorandom noise) sequence, Golay s...

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): H04L27/26H04L25/02
Inventor 王军杨昉何丽峰杜邓宝杨知行王昭诚
Owner TSINGHUA 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