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

Detection method for radar multi-target Hough transform target-by-target elimination

A detection method and multi-target technology, applied in the field of radar target detection, can solve the problems of track feasibility and signal-to-noise ratio loss without considering the target motion information, so as to reduce mutual influence, reduce the probability of false alarm, and improve the probability of detection Effect

Active Publication Date: 2011-04-20
NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
View PDF0 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In previous studies on this issue, the threshold was simply set based on the reachable Hough parameter space and the binomial distribution, without considering factors such as the target's motion information and the feasibility of the obtained track.
In addition, binary accumulation technology is used to solve the problem of mutual influence between the target tracks in the multi-target Hough transform, but this technology will bring a certain loss of signal-to-noise ratio

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
  • Detection method for radar multi-target Hough transform target-by-target elimination
  • Detection method for radar multi-target Hough transform target-by-target elimination
  • Detection method for radar multi-target Hough transform target-by-target elimination

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The present invention will be described in further detail below with reference to the accompanying drawings. With reference to the accompanying drawings, the specific embodiment of the present invention is divided into the following steps:

[0019] (1) The echo signals from each range-azimuth resolution unit obtained in each scan are sent to the device 1 together with the training data used to estimate background parameters, and the test statistics (ie, metric values) of the radar output are calculated. The specific form of the test statistic depends on the signal processing algorithm used. For example, the output of the pulse echo after amplification, frequency mixing and square law detection can be used as the test statistic.

[0020] (2) Deduce the probability density function of the test statistic under the condition of no target according to the set or estimated background statistical model, and calculate the given false alarm probability p in device 2 fa The CFAR...

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 detection method for radar multi-target Hough transform target-by-target elimination, and belongs to the field of tracking processing before radar detection. The conventional tracking processing method before radar multi-target detection has the defects of high operational complexity, great mutual influence between flight paths, simple setting of a second threshold and the like. Therefore, each parameter unit is detected and judged one by one by adopting Hough transform target-by-target elimination technology. By utilizing the capacity of the Hough transform of simultaneously forming peak values through multiple targets and adopting a target-by-target elimination strategy, the technology greatly reduces the mutual influence between target flight paths; meanwhile,different second thresholds are set to detect different parameter units, the technology does not need prior information in a target number and multi-hypothesis test and has obviously lower operational complexity; meanwhile, target motion information, flight path feasibility and other factors are considered in the process of the setting of the second thresholds, the false-alarm probability is reduced and the detection probability of a detector is improved.

Description

1. Technical field [0001] The invention belongs to the field of radar target detection, in particular to radar multi-target tracking technology before detection. 2. Background technology [0002] Tracking-before-detection technology is one of the effective methods for radar weak target detection. It utilizes the prior information of target motion to detect the target by searching the target motion track, so it has a strong ability to resist strong clutter background. Radar tracking before detection technology includes sequential processing and batch processing. The former includes algorithms based on dynamic programming (or Viterbi) and algorithms based on filtering, and the latter includes algorithms based on Hough transform. [0003] As far as radar multi-target tracking technology is concerned, the optimal search process of the above two types of algorithms for multi-target tracks requires multi-dimensional joint search, and its computational complexity is astonishing, es...

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): G01S7/41
Inventor 关键黄勇何友
Owner NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
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