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

Complex likelihood ratio track-before-detect method based on dynamic planning

A dynamic programming, complex likelihood ratio technology, applied in measurement devices, radio wave measurement systems, radio wave reflection/re-radiation and other directions, can solve the problem of underutilization of signal information calculation amount

Active Publication Date: 2014-08-27
XIDIAN UNIV
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The present invention overcomes the disadvantages of insufficient use of signal information (only the amplitude information of complex signals) and large amount of calculation in the prior art

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
  • Complex likelihood ratio track-before-detect method based on dynamic planning
  • Complex likelihood ratio track-before-detect method based on dynamic planning
  • Complex likelihood ratio track-before-detect method based on dynamic planning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The present invention will be further described below in conjunction with accompanying drawing:

[0043] refer to figure 1 , is a flow chart of the dynamic programming-based complex likelihood ratio detection-before-tracking method of the present invention. The dynamic programming-based complex likelihood ratio detection-before-tracking method includes the following steps:

[0044] S1: The radar echo data is received by the radar, and the radar echo data is preprocessed to obtain a preprocessed image. The specific instructions are as follows:

[0045] In step S1, the process of preprocessing the radar echo data is: performing clutter suppression, noise suppression, and pulse compression on the radar echo data. The model representation of the preprocessed image is:

[0046] z k =Aexp{jφ}h(x k )+n k (1)

[0047] Among them, n k is the zero-mean complex Gaussian noise set at time k, A represents the amplitude of the target signal, φ represents the phase of the...

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 radar target detection tracking, and particularly relates to a complex likelihood ratio track-before-detect method based on dynamic planning. The method includes the following steps of receiving radar echo data by means of radar, preprocessing the radar echo data to obtain a preprocessed image, carrying out track-before-detect by means of a dynamic planning method according to the preprocessed image to obtain a target track, building a complex likelihood ratio function according to the preprocessed image when track-before-detect is carried out in the dynamic planning method, and building a value function of the dynamic planning method according to the complex likelihood ratio function.

Description

technical field [0001] The invention belongs to the technical field of radar target detection and tracking, in particular to a dynamic programming-based complex likelihood ratio detection-before-tracking method. The invention utilizes the phase information of the signal to effectively improve the detection performance and tracking performance of the target, and greatly reduces the calculation amount, which provides guarantee for the practical use of the method in the radar system. Background technique [0002] During radar target tracking, the diversity of radar targets and the complexity of the environment make the radar detection capability face great challenges. On the one hand, the development of stealth technology has greatly weakened the reflected echo of the target, and the detection ability of the radar has been greatly reduced. On the other hand, the flight speed of the target is greatly increased, so that the radar's early warning time is shortened sharply. There...

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): G01S7/36G01S7/41G01S13/66
CPCG01S7/292G01S7/414G01S13/66
Inventor 戴奉周刘宏伟安政帅
Owner XIDIAN UNIV
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