Track method before locomotive weak target detection based on multimode grain filtering and data association

A technology of particle filtering and data association, applied in radio wave measurement systems, radio wave reflection/re-radiation, measurement devices, etc., can solve problems such as prone to missing detection and failure to provide target track information

Active Publication Date: 2012-08-01
NAVAL AVIATION UNIV
View PDF6 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to propose a tracking method for maneuvering weak targets before detection based on multi-mode particle filter and data association, so as to so

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
  • Track method before locomotive weak target detection based on multimode grain filtering and data association
  • Track method before locomotive weak target detection based on multimode grain filtering and data association
  • Track method before locomotive weak target detection based on multimode grain filtering and data association

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0097] The method for tracking before detection of a maneuvering weak target based on multi-mode particle filtering and data association of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0098] Without loss of generality, set up a two-dimensional simulation scene. Assume that the target has an initial existence probability η 0 =0.05, the target initial intensity is I=20, and its possible minimum and maximum intensity are I min = 10 and I max = 30, the target initial position and initial velocity are (20, 20) and (0.45, 0.25) respectively, and the possible minimum velocity and maximum velocity are v min = -1 and v max =1, target state transition probability P b =P d =0.05, the target existence judgment threshold γ=0.6, the target starts to appear from the 7th second, and first moves in a straight line along the x-axis direction for 10s, then turns counterclockwise for 5s, then enters a straight line motion at a cons...

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 track method before locomotive weak target detection based on multimode grain filtering and data association, which belongs to the field of radar data processing. The method aims at solving locomotive weak target detection and track problems under low signal-to-noise ratio conditions, provides target track information while achieving the locomotive weak target detection, and effectively eliminates the target leakage problem caused by the low signal-to-noise ratio and big locomotive performance. The method mainly comprises the following steps of (1) using the multimode grain filtering to obtain target states and state covariance estimation of each time; and (2) redefining the results of the multimode grain filtering to be a measuration value, and using a state estimation-track data association to give out the target track information. The track method overcomes limitations of a track method before locomotive weak target detection based on multimode grain filtering, guarantees continuity of target tracks by effectively reducing false dismissal probability, simultaneously has the advantages of being simple in structure, easy to achieve hardware and the like, and has strong engineering application value and popularization prospects.

Description

technical field [0001] The invention relates to a radar data processing method, in particular to a radar detection and tracking method for a maneuvering weak target. Background technique [0002] The detection and tracking of faint targets is one of the difficult problems faced by modern radars. The emergence and use of a large number of weak targets such as various stealth aircraft, sea-skimming missiles and cruise missiles seriously affects the performance of radar target detection and tracking. At the same time, in order to improve survivability and defense penetration capabilities, weak targets will perform certain maneuvers at any time, and their motion status will also change due to different combat tasks, which further increases the difficulty of radar detection and tracking. Therefore, it is of great significance to improve the operational efficiency and survivability of radar to realize effective detection and tracking of maneuvering weak targets by radar. At pres...

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): G01S13/66
Inventor 王国宏谭顺成贾舒宜于洪波关成斌
Owner NAVAL AVIATION UNIV
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