Weak target track-before-detect method based on traversal random Hough conversion

A weak target detection and forward tracking technology, applied to radio wave measurement systems, instruments, etc., can solve the problems of low detection probability and prone to false alarms

Active Publication Date: 2014-05-07
JIANGSU ZHONGHAI HUA HE ENVIRONMENTAL PROTECTION CO LTD
View PDF2 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method solves the problem that the detection probability is not high and false alarms

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
  • Weak target track-before-detect method based on traversal random Hough conversion
  • Weak target track-before-detect method based on traversal random Hough conversion
  • Weak target track-before-detect method based on traversal random Hough conversion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The following combination figure 1 The steps of the present invention are described as follows:

[0016] Step 1. Parameter space quantization.

[0017] Hough transform is the calculation of straight line parameters ρ, θ, so using the TBD method based on Hough transform to realize target detection and tracking first needs to quantify the Hough parameter space.

[0018] θ n =(n-1 / 2)Δθn=1,2...,N θ (1)

[0019] ρ n =(n-1 / 2)Δρn=1,2...,Nρ

[0020] where Δθ=π / N θ , N θ is the segment number of parameter θ; Δρ=L / N ρ , L=sqrt(n x 2 +n y 2 ), n x and n y is the corresponding dimension of the radar data space, and Nρ is the number of segments divided by the parameter ρ.

[0021] Step 2. Perform threshold processing on the echo data and store radar echo data exceeding the first threshold in a single frame in different matrices.

[0022] Carry out Hough transformation on the radar echo data to obtain the target parameters. When processing the actual target, in o...

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 weak target track-before-detect method based on traversal random Hough conversion. In the method, clutter suppression first threshold processing is firstly performed on all frames of radar echo data and different frames of data exceeding a first threshold are stored in a separate manner; then all the radar echo data exceeding the first threshold are superimposed in a data space; during Hough conversion on all the points in the data space, the invention proposes a traversal pairing idea, which is a method for performing one-to-one pairing on all the different points in the data space so as to obtain linear parameters; then traversal Hough conversion is performed on all the points in the data space so as to obtain the linear parameters; then voting is performed on the to-be-solved linear parameters; and at last a linear parameter with the maximum vote value is extracted so that track backtracking is realized. The weak target track-before-detect method based on the traversal random Hough conversion is capable of realizing weak-target detection and tracking under a complex background environment and greater in detection performance and tracking precision at the same time.

Description

technical field [0001] The invention belongs to the field of radar data processing, and relates to a weak target tracking method before detection based on ergodic random Hough transform. Background technique [0002] Timely detection and accurate continuous tracking of targets with low signal-to-noise ratio is one of the key technologies that radar detection systems need to solve. In the traditional tracking after detection, the existence of a single frame target is judged by setting a threshold, and the tracking is performed after the target is detected. This method has better detection and tracking performance when the target SNR is high, but when the target SNR is low, since the target is submerged in the clutter signal, using this method to detect and track the target will cause problems. The loss of the target signal is not conducive to target detection and tracking in the environment of low signal-to-noise ratio. The tracking before detection method TBD is an effecti...

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): G01S7/41
CPCG01S7/41
Inventor 郭云飞郑晓枫彭冬亮唐学大周森山
Owner JIANGSU ZHONGHAI HUA HE ENVIRONMENTAL PROTECTION 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