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

A method of low power consumption data acquisition and reconstruction based on 1-bit quantization compressed sensing

A technology of data acquisition and bit compression, which is applied in the direction of analog-to-digital converters, etc., and can solve problems such as signal recovery errors

Inactive Publication Date: 2014-11-05
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF1 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But in reality, the signal intelligence is roughly quantized into finite bits, which will cause a large error in signal recovery.

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 method of low power consumption data acquisition and reconstruction based on 1-bit quantization compressed sensing
  • A method of low power consumption data acquisition and reconstruction based on 1-bit quantization compressed sensing
  • A method of low power consumption data acquisition and reconstruction based on 1-bit quantization compressed sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The technical solution of the present invention will be described in detail below in combination with the embodiments and the accompanying drawings.

[0028] Reconstruction model based on 1-bit compressed sensing technology data acquisition: In the signal acquisition process, 1-bit quantized sampling is performed on the signal based on compressed sensing technology. The scene can be a wireless broadband signal receiving end, a UWB signal receiving end, etc., and the model can be Described as y=Ax, y is the data of one sampling time slot at the signal receiving end, 1 bit quantization y, that is, b=sign(y), data b is the symbol of signal y, where x=[x 1 ,...,x n ] T , y=[y 1 ,...,y m ], A=[a 1 ,,,a m ] T , a i =[a i,1 ,...,a i,n ] T And mm ,...,b m ] T , A matrix can be realized by PN pseudo-random code in hardware implementation. Our goal is to estimate the signal x through the obtained quantization value b and projection matrix A.

[0029] Based on the abo...

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 belongs to the technical field of signal reception quantization, and especially relates to a method of low power consumption data acquisition and reconstruction based on 1-bit quantization compressed sensing. According to the invention, 1-bit quantization of a signal to be measured is executed based on a compressed sensing theory to remove a hypothesis that energy of the signal measured previously is 1, and the signal to be measured is recovered finally by using a formula of loop iteration to minimize a convex replacement function, which enables recovery accuracy of the signal to be improved significantly compared with the previous related algorithm.

Description

technical field [0001] The invention belongs to the technical field of signal reception quantization, and in particular relates to a low-power data acquisition and reconstruction method based on 1-bit quantization compressed sensing in signal reception. Background technique [0002] In the past few years, with the continuous increase of the signal bandwidth, in the radio frequency system, the requirement of the analog to digital converter (Analog to Digital Converter, AD) is getting higher and higher for the digitized signal. The higher the AD conversion rate, the greater the power consumption and the lower the number of effective bits. Recently, Compressed Sensing technology (Compressed Sensing), as a new technology for acquiring sparse signals at a low rate, has been widely researched and applied in academia and industry. Its application background is that the signal is sparse, that is, the signal has only a few sparse. For example, natural images and communication signa...

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): H03M1/12
Inventor 方俊张博沈彦宁李少谦
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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