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DOA Estimation for Underwater Wideband Weak Targets Based on Coherent Signal Subspace and Compressed Sensing

机译:基于相干信号子空间和压缩感知的水下宽带弱目标DOA估计

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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.
机译:到达方向(DOA)估计是使用拖曳线阵声纳设备进行水下目标定位和跟踪的基础。提出了一种基于相干信号子空间(CSS)处理和压缩感知(CS)理论的水下宽带弱目标DOA估计方法。在CSS处理框架下,宽带频率聚焦伴随着双向相关变换,从而可以根据目标的空间稀疏性和压缩感知重建算法来估算水下宽带目标的DOA。通过对模拟数据和海洋试验数据的分析和处理,表明该方法可以完成水下宽带弱目标的DOA估计。结果还表明,该方法可以显着改善弱目标信号的空间频谱,增强检测能力。它可以解决传统波束形成技术中方向分辨率低,弱目标检测不可靠的问题。与传统的最小方差无失真响应波束形成器(MVDR)相比,该方法具有许多优势,例如方向分辨率更高,检测范围更广,所需快照更少,对弱目标的检测更加准确。

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