Abstract
Direction of arrival (DOA) estimation is the basis for underwater target localization and tracking using towed line array sonar devices. A method of DOA estimation for underwater wideband weak targets based on coherent signal subspace (CSS) processing and compressed sensing (CS) theory is proposed. Under the CSS processing framework, wideband frequency focusing is accompanied by a two-sided correlation transformation, allowing the DOA of underwater wideband targets to be estimated based on the spatial sparsity of the targets and the compressed sensing reconstruction algorithm. Through analysis and processing of simulation data and marine trial data, it is shown that this method can accomplish the DOA estimation of underwater wideband weak targets. Results also show that this method can considerably improve the spatial spectrum of weak target signals, enhancing the ability to detect them. It can solve the problems of low directional resolution and unreliable weak-target detection in traditional beamforming technology. Compared with the conventional minimum variance distortionless response beamformers (MVDR), this method has many advantages, such as higher directional resolution, wider detection range, fewer required snapshots and more accurate detection for weak targets.
Highlights
Passive estimation of target direction in sonar imaging, called direction of arrival (DOA)estimation, does not need to transmit signals and ensures good concealment for the delivery platform
For the Direction of arrival (DOA) estimation problem of underwater wideband weak targets, we propose a novel method of DOA estimation based on coherent signal subspace processing and compressed sensing theory (CSS-CS)
Based compressed sensing theory for method is proposed for underwater compressed sensing theory for DOA estimation, a CSS-CS method is proposed for underwater widebandweak-target weak-target
Summary
Passive estimation of target direction in sonar imaging, called direction of arrival (DOA). The radiated noise of underwater targets, such as submarines and surface ships, becomes weaker, but the noise of marine environments increases yearly Because of their low azimuthal resolution and narrow detection range, the traditional DOA estimation methods, such as conventional beamformers and ISS-MVDR and CSS-MVDR beamformers, may not detect the target in time or provide accurate underwater target location information for the weapon system. Proposed the ISS-CS method, which uses CS for DOA estimation and waveform restoration of underwater wideband targets This method achieves better target resolution and detection performance than conventional methods. The above methods provide DOA estimation for narrow- or wideband targets based on the ISS processing framework. For the DOA estimation problem of underwater wideband weak targets, we propose a novel method of DOA estimation based on coherent signal subspace processing and compressed sensing theory (CSS-CS).
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