2019_programme: PASSIVE UNDERWATER ACOUSTIC TARGET TRACKING BASED ON ADAPTIVE INTERFERENCE SUPPRESSION

• Session: 25. Signal and image processing
  Organiser(s): N/A
• Lecture: PASSIVE UNDERWATER ACOUSTIC TARGET TRACKING BASED ON ADAPTIVE INTERFERENCE SUPPRESSION
  Paper ID: 804
  Author(s): Zhang Wen, Wu Yanqun, Chen Wen, Ma Lina, Peng Chengyan, Hu Zhengliang
  Presenter: Zhang Wen
  Presentation type: poster
  Abstract: Passive underwater acoustic target tracking of weak signals in the presence of strong interferences is generally a difficult task. In this paper, an adaptive interference suppression method is proposed to estimate the direction of arrival (DOA) and subsequently the weak target tracking. Assuming the target of interest (TOI) is in a known bearing sector, firstly we define a contribution ratio for each eigenvector of the cross-spectral density matrix (CSDM). The eigenvectors not dominated by the TOI are adaptively identified and removed for interference suppression. The remaining eigenvectors are then used to reconstruct the CSDM for TOI’s DOA estimation. the TOI’s estimated DOA is achieved with the reconstructed CSDM, by matching the beam intensity striation pattern, where it is not required to estimate the waveguide-invariant parameter. Secondly, the DOI’s angle tracking model is constructed using Kalman Filter. The TOI’s predicted DOA can be given by this model. Thirdly, compare the TOI’s estimated and predicted DOAs. If their absolute difference is lower than the preset threshold, the TOI’s estimated DOA will be used as the current tracking angle. Otherwise the TOI’s predicted DOA will be used as the current tracking angle. And the above first step will be recalculated using the predicted DOA. The effectiveness of the proposed TOI tracking algorithm is demonstrated both using simulation and experimental data sets.
• Corresponding author: Dr Zhang Wen
  Affiliation: College of Meteorology and Oceanography, National University of Defense Technology
  Country: China
  e-mail: