Skip to main content
Top

2013 | OriginalPaper | Chapter

27. Dim and Weak Target Detection Technology Based on Multi-Characteristic Fusion

Authors : Jia Tang, Xin Gao, Gang Jin

Published in: Proceedings of the 26th Conference of Spacecraft TT&C Technology in China

Publisher: Springer Berlin Heidelberg

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

As the signal of small weak target is weak, its characteristic information is prone to weakening and loss and is difficult to maintain stability. In this paper, a self-learning mechanism is built using continuous signal correlative characteristics. The method is based on K-L transform fusion technology and D-S theory of decision-making. Meanwhile, the fusion technology of “fusion after the first decision-making” and “decision-making after first fusion” organic integration is developed. To verify the detection capability of this technology for small dim targets, a new type of tracking processor is developed. It processes more than one hundred groups of raw image data divided into two groups. The image data is taken by a space target surveillance telescope. Experimental results show that dim targets can be detected and tracked stably and reliably using this technology. Also provided with a complex background suppression and anti-jamming capability, a target can be detected stably and reliably when its SNR is about 1.2.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Reed IS, Gagliardi RM, Stotts LB (1998) Optical moving target detection with 32D matched filtering. IEEE Trans Aerosp Electron Syst 24(4):327–336CrossRef Reed IS, Gagliardi RM, Stotts LB (1998) Optical moving target detection with 32D matched filtering. IEEE Trans Aerosp Electron Syst 24(4):327–336CrossRef
2.
go back to reference Porat B, Friedlander B (1990) A frequency domain algorithm for multi-frame detection and estimation of dim targets. IEEE Trans Pattern Anal Mach Intell 12(4):398–401CrossRef Porat B, Friedlander B (1990) A frequency domain algorithm for multi-frame detection and estimation of dim targets. IEEE Trans Pattern Anal Mach Intell 12(4):398–401CrossRef
3.
go back to reference Succcary R, Cohen A, Yaractzi P et al (2001) A dynamic programming algorithm for point target detection: practical parameters for DPA. Proc SPIE 4437:96–100CrossRef Succcary R, Cohen A, Yaractzi P et al (2001) A dynamic programming algorithm for point target detection: practical parameters for DPA. Proc SPIE 4437:96–100CrossRef
4.
go back to reference Johnston LA, Vikram K, Leigh A (2002) Performance analysis of a dynamic programming track before detect algorithm. IEEE Trans Aerosp Electr Syst 38(1):228–242CrossRef Johnston LA, Vikram K, Leigh A (2002) Performance analysis of a dynamic programming track before detect algorithm. IEEE Trans Aerosp Electr Syst 38(1):228–242CrossRef
5.
go back to reference Kirubarajan T, Bar-Shalom Y (2004) Probabilistic data association techniques for target tracking in clutter. Proc IEEE 92(3):536–557CrossRef Kirubarajan T, Bar-Shalom Y (2004) Probabilistic data association techniques for target tracking in clutter. Proc IEEE 92(3):536–557CrossRef
Metadata
Title
Dim and Weak Target Detection Technology Based on Multi-Characteristic Fusion
Authors
Jia Tang
Xin Gao
Gang Jin
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-33663-8_27

Premium Partner