RATM-CFAR detector and detection method based on distance-angle joint estimation

A RATM-CFAR and joint estimation technology, applied in the field of radar signal multi-target detection, can solve complex detection problems, CFAR detection performance degradation and other problems, and achieve the effect of improving detection accuracy

Active Publication Date: 2021-04-30
HUBEI UNIV OF TECH
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The assumption of traditional CFAR can only achieve better detection performance in a specific environment. However, with the complexity of radar application scenarios, the ideal design conditions cannot be met in actual engineering, and the detection performance of CFAR is seriously degra

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
  • RATM-CFAR detector and detection method based on distance-angle joint estimation
  • RATM-CFAR detector and detection method based on distance-angle joint estimation
  • RATM-CFAR detector and detection method based on distance-angle joint estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] figure 1 A RATM-CFAR detection method based on joint distance-angle estimation is shown, which includes the following steps:

[0028] Step 1, collect the radar echo data, and form the data received by the radar into a three-dimensional radar matrix RadarCube, such as figure 2 shown.

[0029] Step 2, perform two-dimensional FFT on the RadarCube three-dimensional data matrix to obtain the RDM (Range Doppler matrix) distance-Doppler matrix, such as image 3 shown.

[0030] Step 3. Estimating the angle of the distance dimension of the RDM, that is, using the beamforming method to scan the angle of [-90,90] in the direction of the measurement target to obtain the spatial spectrum estimation of each distance unit, and take out the maximum spectral value corresponding to The abscissa of is the angle θ of the target, and then the corresponding angle {θ 1 , θ 2 ,...,θ U ,...θ n} and distance {r 1 ,r 2 ,...,r u ,...,r n}, as the prior information of the CFAR algorithm...

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 RATM-CFAR detector and detection method based on distance and angle joint estimation, and the method comprises the steps: collecting radar echo data, carrying out the 2D-FFT of the data to obtain an RDM distance Doppler matrix, employing a distance-angle estimation result for the priori estimation of a CFAR algorithm in a process of carrying out the CFAR of the RDM matrix, converting a frequency domain into a spatial domain, and carrying out the processing; eliminating interference targets near the to-be-detected unit and prerequisite targets far away from the to-be-detected unit, and then performing CFAR algorithm selection based on background clutter estimation on the remaining units to obtain a final detection result. According to the method, the distance-angle estimation result is used for priori estimation of the CFAR algorithm for the first time, conversion from the frequency domain to the spatial domain is achieved, the method has the advantages of being simple, capable of avoiding missing detection of small targets, high in detection precision, high in environmental adaptability and high in anti-interference performance, the detection performance of the radar in a complex environment and a multi-target environment is improved, and a new method is provided for the CFAR algorithm.

Description

technical field [0001] The invention relates to the technical field of radar signal multi-target detection, in particular to a radar signal multi-target detection method based on RATM-CFAR and a background clutter processing method. Background technique [0002] With the development of society and technology, the rapid development of artificial intelligence and the automobile industry, there is no doubt that the driver's cooperation with the assisted driving system is the main form of future car travel, and the vehicle-mounted millimeter-wave radar is an important component of the assisted driving system. high research value. However, during the detection process of the radar, the received signal is not only the target signal, but also contains some real-time changing clutter signals. Faced with this situation, the radar constant false alarm rate (Constant False Alarm Rate, CFAR) processing should also be used. And born. The advent of CFAR processing technology can keep th...

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
IPC IPC(8): G01S7/36G01S7/41
CPCG01S7/36G01S7/414G01S7/41
Inventor 凃玲英朱鑫潮巩朋成张正文周顺秦宇
Owner HUBEI UNIV OF TECH
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