Abstract
This article discusses the application of single vector hydrophones in the field of underwater acoustic signal processing for Direction Of Arrival (DOA) estimation. Addressing the limitations of traditional DOA estimation methods in multi-source environments and under noise interference, this study introduces a Vector Signal Reconstruction Sparse and Parametric Approach (VSRSPA). This method involves reconstructing the signal model of a single vector hydrophone, converting its covariance matrix into a Toeplitz structure suitable for the Sparse and Parametric Approach (SPA) algorithm. The process then optimizes it using the SPA algorithm to achieve more accurate DOA estimation. Through detailed simulation analysis, this research has confirmed the performance of the proposed algorithm in single and dual-target DOA estimation scenarios, especially under various signal-to-noise ratio(SNR) conditions. The simulation results show that, compared to traditional DOA estimation methods, this algorithm has significant advantages in estimation accuracy and resolution, particularly in multi-source signals and low SNR environments. The contribution of this study lies in providing an effective new method for DOA estimation with single vector hydrophones in complex environments, introducing new research directions and solutions in the field of vector hydrophone signal processing.
Abstract (translated)
这篇文章讨论了在水下声信号处理领域中应用单向量水听器进行方向估计的应用。它解决了传统方向估计方法在多源环境中的局限性和噪声干扰问题，并提出了一种向量信号重构稀疏和参数方法（VSRSPA）。该方法包括重构单向量水听器的信号模型，将其协方差矩阵转换为适用于稀疏和参数方法（SPA）算法的Toeplitz结构。然后使用SPA算法优化该过程，以实现更准确的方向估计。通过详细的仿真分析，这项研究证实了该算法在单目标和双目标方向估计场景中的性能，特别是在各种信噪比条件下。仿真结果表明，与传统方向估计方法相比，该算法在估计精度和分辨率方面具有显著优势，尤其是在多源信号和低信噪比环境中。这项研究的贡献在于为复杂环境中的单向量水听器方向估计提供了一种有效的新方法，推动了向量水听器信号处理领域的研究方向和解决方案的发展。
URL
https://arxiv.org/abs/2404.15160
