DOA estimation based on multiple beamspace measurements sparse reconstruction for manoeuvring towed array

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. In order to improve the performance of target detection and Direction of Arrival (DOA) estimation, this paper...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 787; no. 1; pp. 12026 - 12031
Main Authors Yuan, J, Xiao, H, Cai, Z M, Xi, C
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.01.2017
Subjects
Algorithms
Ambiguity
Beamforming
Direction of arrival
Linear arrays
Maneuvers
Performance enhancement
Physics
Reconstruction
Target detection
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Summary: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. In order to improve the performance of target detection and Direction of Arrival (DOA) estimation, this paper proposes a novel spatial spectrum sparse reconstruction method based on multiple beamspace measurements (MBM-SR). An array sparse signal model for manoeuvring towed array is established. Then the Mutual Incoherent Property (MIP) is analyzed to ensure the proposed algorithm possessing better spatial spectrum reconstruction property. Simulation results demonstrate that, compared with Conventional Beam Forming (CBF) algorithm, the proposed algorithm has evident advantage in ambiguity suppression ratio (ASR) and estimation performance.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/787/1/012026