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

Bayes compressed sensing based broadband radar echo signal parameter estimation method

A Bayesian compression and echo signal technology, which is applied in radio wave measurement systems, radio wave reflection/re-radiation, instruments, etc., can solve the problems that the performance is difficult to meet the actual needs, and achieve the effect of improving performance and improving performance

Active Publication Date: 2019-09-24
NANJING UNIV OF SCI & TECH
View PDF6 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the OMP algorithm is used for parameter estimation, the estimation performance is acceptable under the condition that the speed and distance values ​​of the target are located in the speed-distance two-dimensional discrete grid point (On-grid), and the speed and distance values ​​of the target are randomly selected (Off -grid) conditions, the performance is difficult to meet the actual needs

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
  • Bayes compressed sensing based broadband radar echo signal parameter estimation method
  • Bayes compressed sensing based broadband radar echo signal parameter estimation method
  • Bayes compressed sensing based broadband radar echo signal parameter estimation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] combine figure 1 , figure 2 , a method for estimating parameters of broadband radar echo signals based on Bayesian compressed sensing in the present invention uses a single-station single-transmitting antenna radar system to transmit pulse trains and obtain echo signals, and then extract and compress back to wave signal, and finally use the Bayesian compressive sensing method to process the signal and estimate the parameters. Orthogonal compressed sampling systems such as image 3 shown. The specific steps of the estimation method are as follows:

[0017] Step 1, quadrature compressed sampling, i.e. compressed sampling of wideband signals to obtain low-speed in-phase and quadrature compressed measurements;

[0018] Step 1-1. Set an extended target with P reflection points, which moves at a constant speed along the line of sight, with a speed of v. It is specified that the speed is positive when the target is far away from the radar receiver. The radar emission ban...

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 Bayes compressed sensing based broadband radar echo signal parameter estimation method. The method includes the following steps: a step of quadrature compressed sampling for compressed sampling of broadband signals to obtain lower-speed in-phase and quadrature compressed measurement; a step of time delay-scale factor two-dimensional discretization dictionary construction for sparse representation of compressed measurement; and a step of Bayes compressed algorithm for sparse reconstruction of an original signal and further estimation of target parameters. The Bayes compressed sensing based broadband radar echo signal parameter estimation method effectively improves the performance of joint estimation of broadband echo signal time delay-scale factors and solves the problem that the sparse reconstruction performance is affected by high correlation of a two-dimensional discretization dictionary.

Description

technical field [0001] The invention belongs to the technical field of radar signal estimation, and in particular relates to a method for estimating parameters of wideband radar echo signals based on Bayesian compressed sensing. Background technique [0002] The use of broadband or ultra-wideband to transmit signals has become an important trend in the development of radar technology. Compared with narrowband radar, wideband radar has incomparable advantages in many aspects. For example, by increasing the signal bandwidth, the distance resolution of the radar can be improved, so that parameter estimation can be performed more accurately, more target and environmental information can be obtained, and better target imaging and ultra-short-range detection capabilities can be obtained. At the same time, broadband radar also has better anti-jamming performance and can more effectively counter active and passive jamming; it can reduce the detection probability of the enemy and im...

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): G01S13/58G01S7/41
CPCG01S13/58G01S7/415G01S7/418Y02A90/10
Inventor 吕亨达尹佳施江南
Owner NANJING UNIV OF SCI & TECH
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