The Journal of the Acoustical Society of Korea

The Acoustical Society of Korea (한국음향학회)
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Multiple Target Angle-tracking Using Angular Innovations Extracted from Noise Subspace

잡음 부공간에서 추출된 방위 변위를 이용한 다중 표적 방위 추적

  • Hwang Soo Bok (Agency for Defense Development, Pusan National University) ;
  • Kim Jin Seok (Agency for Defense Development, Pusan National University) ;
  • Kim Hyun Sik (Agency for Defense Development, Pusan National University) ;
  • Nam Ki Gon (Department of Electronics Engineering, Pusan National University)
  • Published : 2005.03.01
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Abstract

Ryu et al. proposed a multiple target angle-tracking algorithm without a data association problem using angular innovations. This algorithm, however, needs the computational loads in proportion to the square number of sensors regardless of the number of targets, because it uses a nonlinear equation between the signal subspace and angular innovation. In this Paper, we proposed an efficient algorithm for the multiple target angle-tracking using angular innovations. The proposed algorithm extracts the angular innovations from noise subspace. Also, it is demonstrated by computer simulations dealing with the tracking of crossing targets. The simulation results show that the computational loads of the proposed algorithm are $80\%$ and $60\%$ of those of Ryu's algorithm for 3 targets and 6 targets without degrading the performance of the target tracking.

Keywords

References

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