Systems Engineering and Electronics ›› 2017, Vol. 39 ›› Issue (12): 2652-2658.doi: 10.3969/j.issn.1001-506X.2017.12.03

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Spatial spectrum estimation based on sparse reconstruction for maneuvering towed linear array#br#

YUAN Jun1, CAI Zhiming1, XIAO Hui2, XI Chang1   

  1. 1. College of Electronics Engineering, Navel University of Engineering, Wuhan 430033, China;
    2. Department of Air/Space EarlyWarning Equipment, Air Force Early Warning Academy, Wuhan 430019, China
  • Online:2017-11-28 Published:2017-12-07

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Abstract:

The portstarboard ambiguity in the conventional single towed linear array sonar is one of the most deceiving obstacles which exist in the way of development of spatial spectrum estimation. A novel spatial spectrum sparse reconstruction method based on multiple beam space measurements is proposed. Firstly, the array shape of maneuvering towed array is estimated using the recursive method and the array sparse signal model is established. Then, based on target bearing variation characteristics caused by vessel’s turning, the mutual incoherent property is analyzed to ensure the proposed algorithm possessing better spatial spectrum reconstruction property and the sparse reconstruction model based on continuous multiple beam snapshots is established. Simulation results demonstrate that compared with the conventional beamforming algorithm, the proposed algorithm has evident advantage in ambiguity suppression ratio and direction of arrival estimation performance.

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