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

Signal Range Profile Reconstruction Method Based on Joint Sparsity

A technology that combines sparse and distance images, applied in the direction of reflection/re-radiation of radio waves, instruments, measuring devices, etc., can solve the problem of not considering the connection of each group of pulse signals, etc., to reduce imaging time, save time and resources, and strengthen robustness. awesome effect

Inactive Publication Date: 2018-09-25
杜庆磊
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the current compressed sensing range image imaging methods reconstruct each group of pulses separately, without considering the connection between each group of pulse signals

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
  • Signal Range Profile Reconstruction Method Based on Joint Sparsity
  • Signal Range Profile Reconstruction Method Based on Joint Sparsity
  • Signal Range Profile Reconstruction Method Based on Joint Sparsity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] The principle of implementing the present invention is as follows: based on the compressive sensing theory, the joint reconstruction model of the range image of the random sparse frequency step signal is constructed, and then different measurement matrices are designed according to the random sparse mode of the sub-pulse signal, and finally based on the random sparse frequency step The joint sparse reconstruction model of the input signal is realized, and the joint sparse reconstruction of the range image is realized by using the DC-OMP algorithm. The invention can realize the high-precision reconstruction of the distance image under the condition of lower signal-to-noise ratio and fewer distance vector measurements.

[0017] (1) Construct a random sparse frequency step signal joint sparse echo model. Assume that the echo fundamental frequency signal of the random sparse frequency step signal is:

[0018]

[0019] In the formula, σ i , i=1,...I is the intensity of ...

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 signal distance image reconstruction method based on combined sparse characteristics, comprising steps of (1) generating a random sparse frequency stepping signal echo, (2) establishing a random sparse frequency stepping signal distance image combined reconstruction model based on echo signal combined sparse information, (3) reconstructing various measurement matrixes on each group of sub-plus signals according to different sub-pulse random type, using a Fourier basis as a echo signal sparse base matrix, and (4) using all information with same signal support sets when searching the echo signal support set, and using a DC-OMP algorithm to perform combined reconstruction on the distance image.

Description

technical field [0001] The invention is a range image reconstruction method, which makes full use of the characteristics of joint sparseness of the echo signal in the range image reconstruction process of the random frequency step signal to improve the reconstruction accuracy of the range image. Background technique [0002] As a radar system that can observe, image, and track non-cooperative targets, inverse synthetic aperture radar mainly obtains high-resolution range images in the range direction through large-bandwidth signals. High-resolution range images are also the key to ISAR imaging. Stepped frequency signal is often used in imaging system as an efficient and large bandwidth signal. The traditional stepping frequency signal realizes the high resolution of the distance upward by transmitting the pulse signal with a uniform step in the carrier frequency, but it must continuously transmit multiple sub-pulses with continuously changing carrier frequencies, which requi...

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): G01S13/90
CPCG01S13/904G01S13/9064
Inventor 杜庆磊韩俊吕明久许鹏程唐志凯
Owner 杜庆磊
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