Spectrogram feature-based radar target high-resolution distance image identification method

A high-resolution range image and target distance technology, applied in the field of radar, can solve problems such as the degradation of recognition performance, and achieve the effect of reducing the computational burden, improving the recognition effect, and reducing the amount of memory required.

Active Publication Date: 2011-09-07
XIAN CETC XIDIAN UNIV RADAR TECH COLLABORATIVE INNOVATION INST CO LTD
View PDF3 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] (1) Only the relationship between the high-resolution range images of radar targets is studied, and the relationship between each range unit in the echo is ignored. When the number of training samples is small, the recognition performance drops sharply

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
  • Spectrogram feature-based radar target high-resolution distance image identification method
  • Spectrogram feature-based radar target high-resolution distance image identification method
  • Spectrogram feature-based radar target high-resolution distance image identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] refer to figure 1 , the concrete steps of the present invention are as follows.

[0025] Step 1, preprocessing the radar training target range echo data and the radar test target range echo data.

[0026] Since the radar training target range echo data has attitude sensitivity, translation sensitivity, and intensity sensitivity, and the radar test target data has intensity sensitivity, it is necessary to preprocess the radar training target range echo data and the radar test target data first. Its implementation steps are as follows:

[0027] (1a) Angular domain framing of radar training target range echo data

[0028] The radar training target range echo data is composed of a series of range units. If the envelope displacement of the sub-echo in the range unit of the radar training target range echo data is greater than the distance unit, the scattering point will move beyond the distance unit. The MTRC originally resides in The scattering points in the same range u...

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 provides a spectrogram feature-based radar target high-resolution distance image identification method for mainly solving the problems of poor identification performance and high memory demand and calculated quantity in the conventional radar aircraft target identification technology. The method comprises the following processes of: preprocessing radar training target distance echo data; extracting spectrogram features from the preprocessed radar training target distance echo data and the radar test target distance; training a multi-task hidden Markov model for the spectrogram features of each frame of the radar training target echo data along the time dimensions of the spectrogram features, determining parameters of the model, and calculating the posterior probability values of the radar test target echo data by using a forward algorithm; and taking the category attribute of the radar training target echo data corresponding to the maximum posterior probability value as the category attribute of the radar test target echo data. The method has the advantages of high identification performance and low memory demand and calculation burden, and can be used for identification of an aircraft target.

Description

technical field [0001] The invention belongs to the technical field of radar and relates to automatic target recognition, in particular to a target recognition method of a high-resolution range image of a radar target. Background technique [0002] Radar automatic target recognition technology can provide information such as target attributes, categories, models, etc. High-resolution radar usually works in the microwave band, and the length of the target and its components is much longer than the wavelength. At this time, the radar target can be approximated as a set of discrete scattering points. Correspondingly, the radar transmitted signal is backscattered by the target scattering point, and the scattering point echo is formed after the delay of the amplitude modulation. The radar target echo is the vector sum of each scattering point echo, which is the scattering point of the high-resolution radar target. point model. This model is widely used in radar automatic target ...

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): G01S7/41G06K9/62
Inventor 杜兰刘宏伟潘勉王鹏辉
Owner XIAN CETC XIDIAN UNIV RADAR TECH COLLABORATIVE INNOVATION INST CO LTD
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap