| 明超,牛海强,李整林,郭永刚,甘维明.结合有限新息率重构的水声宽带信号方位估计方法*[J].,2025,44(2):423-433 |
| 结合有限新息率重构的水声宽带信号方位估计方法* |
| Direction of Arrival Estimation Method for Underwater Acoustic Broadband Signals Based on Finite Rate of Innovation |
| 投稿时间：2024-09-11 修订日期：2025-02-28 |
| 中文摘要: |
| 基于压缩感知理论的稀疏重构方法容易受网格失配的影响，导致其性能下降。此外，这类方法的计算复杂度较高，难以满足实时应用的要求。相比之下，有限新息率重构方法（Finite rate innovation, FRI）在解决网格失配问题和提升计算效率方面具有明显优势。实际的水声信号通常是宽带信号，而现有的FRI重构方法多基于窄带信号的假设，未深入研究宽带信号的方位估计问题。针对这一问题，本文提出一种基于多项式比值模型的宽带信号FRI方位估计方法，该方法首先通过一种基于矩阵极分解的宽带聚焦算法，将所有频率的接收信号聚焦到同一个参考频率上，随后使用FRI方法对聚焦后的信号进行方位估计。与传统基于相干信号子空间的方位估计方法相比，该方法无需预先估计目标方位，数值仿真和实验结果表明，该方法在保持高计算效率的同时，实现了高分辨率的方位估计。 |
| 英文摘要: |
| Sparse reconstruction methods based on compressed sensing theory are susceptible to grid mismatch, leading to performance degradation. Moreover, the high computational complexity of these methods makes them unsuitable for real-time applications. In contrast, sparse reconstruction methods based on finite rate of innovation (FRI) theory offer significant advantages in terms of grid mismatch and computational efficiency. However, existing research on FRI-based reconstruction methods has focused on narrowband signals, neglecting the processing and direction of arrival (DOA) estimation of broadband signals. To address this issue, this paper proposes an FRI-based DOA estimation method for broadband signals. The method first uses a broadband focusing algorithm based on matrix polar decomposition to align the received signals of all frequencies to a common reference frequency. Then, the FRI method is applied to the focused signals for DOA estimation. Unlike traditional broadband DOA estimation methods, this approach does not require pre-estimation of the target direction. Numerical simulations and experimental results demonstrate that the proposed method achieves high-resolution DOA estimation with high computational efficiency. |
| DOI：10.11684/j.issn.1000-310X.2025.02.017 |
| 中文关键词: 到达方向估计 宽带信号 有限新息率 |
| 英文关键词: Direction of arrival estimation Broadband signals Finite rate of innovation |
| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目）, 院士工作站，中国科学院基础与交叉前沿科研先导专项 |
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