The Journal of the Acoustical Society of Korea (한국음향학회지)

The Acoustical Society of Korea (한국음향학회)
권호 표지
DOI QR코드

DOI QR Code

Adaptive Beamforming Applied to Bearing Estimation of DIFAR Signal with Highly Directional Noise

높은 방향성 소음환경에서 DIFAR 수신센서 신호의 적응 빔형성에 의한 방위추정

  • 신기철 ((주)LIG넥스원 Maritime연구소) ;
  • 김재수 (한국해양대학교, 해양공학과)
  • Received : 2011.08.31
  • Accepted : 2011.10.24
  • Published : 2011.11.30
Download PDF
⟨ Previous Next ⟩

Abstract

Conventional beamforming is ineffective in producing directional information in system with sparse degree of the freedom such as DIFAR (DIrectional Frequency Analysis and Recording) sonobuoy and in the presence of high directional noise. In this paper, Adaptive beamforming techniques are applied to produce directional spectra from a small number of sensors in highly directional noise environment. Conventional method as well as minimum variance and eigenvectors as adaptive method are evaluated via numerical test and real data.

높은 방향성 소음환경하에서 DIFAR (Directional Frequency Analysis and Recording) 소노부이 (sonobuoy)와 같이 채널의 자유도가 낮은 시스템에서 넓은 빔폭과 낮은 신호 대 잡음비를 갖는 일반 빔형성 기법을 이용하여 음원의 방위 정보를 획득하는 것은 비효율적이다. 본 논문에서는 높은 방향성 소음환경에서 DIFAR 수신센서와 같이 센서의 수가 극히 제한된 경우에 적응 빔형성 기법을 응용하여 적용성을 검증하였다. 일반 빔형성 기법과 적응 빔형성 기법들은 모의된 방향성 신호에 의해 비교 평가되었으며, 최종적으로 실 신호를 적용하여 성능을 검증하였다.

Keywords

References

  1. C. R. Greene, Jr., M. W. McLennan, R. G. Norman, T. L. McDonald, R. S. Jakubczak and W. J. Richardson, "Directional frequency and recording (DIFAR) sensors in seafloor recorders to locate calling bowhead whales during their fall migration," J. Acoust. Soc. Am., vol. 116, no. 2, pp. 799-813, 2004. https://doi.org/10.1121/1.1765191
  2. D. H. Chang, H. B. Park, Y. N. Na, and J. H. Ryu, "Bearing Estimation of Narrow Band Acoustic Signals Using Cardioid Beamforming Algorithm in Shallow Water," J. Acoust. Soc. Kor., vol. 21(2E), pp. 71-78, 2002.
  3. A. B. Baggeroer, W. A. Kuperman, and P. N. Michalevesky, "An Overview of Matched Field Methods in Ocean Acoustics," IEEE J. Ocean. Eng., vol. 18, pp. 401-424, 1993. https://doi.org/10.1109/48.262292
  4. J. Capon, "High resolution frequency wavenumber spectrum analysis," Proc. of the IEEE, vol. 57, pp. 1408-1418, 1969. https://doi.org/10.1109/PROC.1969.7278
  5. G. Bienvenu and L. Kopp, "Optimality of high resolution array processing using the eigensystem approach," IEEE Trans Acoust. Speech Sig. Proc., vol. 31, pp. 1235-1247, 1983. https://doi.org/10.1109/TASSP.1983.1164185
  6. H. Cox, R. M. Zeskind, and M. M. Owen, "Robust Adaptive Beamforming," IEEE Trans. of Acoust., Speech Signal Processing, vol. 35, pp. 1365-1376, 1987. https://doi.org/10.1109/TASSP.1987.1165054
  7. J. Oltman-Shay and R. T. Guza, "A Data-Adaptive Ocean Wave Directional Spectrum Estimator for Pitch and Roll Type Measurements," J. Phys. Oceanogr., vol. 14, pp. 1800-1810, 1984. https://doi.org/10.1175/1520-0485(1984)014<1800:ADAOWD>2.0.CO;2
  8. R. F. Marsden and B.-A. Juszko, "An Eigenvector Method for the Calculation of Directional Spectra from Heave, Pitch and Roll Data," J. Phys. Oceanogr., vol. 17, pp. 2157-2167, 1987. https://doi.org/10.1175/1520-0485(1987)017<2157:AEMFTC>2.0.CO;2

Cited by

  1. Estimating The Ratio of The CPA Distance to Velocity for Underwater Target using Bearing CPA vol.53, pp.6, 2016, https://doi.org/10.5573/ieie.2016.53.6.146