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A Multitarget Passive Recognition and Location Method Fusing SVM and BSS

  • Jun Bai
  • Haiyan Wang
  • Xiaohong Shen
  • Zhao Chen
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 99)

Abstract

A multitarget passive recognition and location method which fuses SVM and blind signal processing technique is proposed in this paper. Its characters are: Sampling data via multitarget information receiving array at first; And then getting separated signal and matrix by blind signal separation (BSS) to these data; Completing classification of each separated signal by using decision tree support vector machine (SVM) multitarget recognition process to the separated signal; Obtaining direction information of each signal by blind deconvolution location algorithm based on array model to the separated matrix at the same time; Finally, realizing target recognition and location by synthesizing targets information of the classification and direction. This paper studies technique principle of this method, gives a detailed implement step and proves its validity by multitarget recognition and location experiment of measured ship-radiated noise.

Keywords

SVM Blind signal Multitarget Recognition location 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Jun Bai
    • 1
  • Haiyan Wang
    • 1
  • Xiaohong Shen
    • 1
  • Zhao Chen
    • 1
  1. 1.College of Marine EngineeringNorthwestern Polytechnical UniversityXi’anChina

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