College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, 150001, China.
National Innovation Institute of Defense Technology, Chinese Academy of Military Science, Beijing, 100091, China.
J Acoust Soc Am. 2023 Feb;153(2):1257. doi: 10.1121/10.0017256.
Target direction-of-arrival (DOA) estimation is often difficult in the presence of strong interference-especially when the target DOA is very close to the interference DOA-since the strong interference signal can mask the weak target signal and make the DOA estimation hard. To address this problem, an efficient sparse method for DOA estimation is proposed in this paper, in which the effect of strong interference on the target DOA estimation is significantly reduced. An on-grid version of the grid evolution technique is then developed to nonuniformly refine the grid, thereby reducing the computational complexity while retaining reasonable accuracy. Numerical simulations and experimental results demonstrate that, compared to state-of-art methods, the proposed method achieves higher efficiency and better DOA estimation performance in the presence of strong interference.
目标到达方向（DOA）估计在强干扰存在的情况下通常很困难——尤其是当目标 DOA 非常接近干扰 DOA 时，因为强干扰信号会掩盖弱目标信号，使得 DOA 估计变得困难。为了解决这个问题，本文提出了一种有效的 DOA 估计稀疏方法，该方法显著降低了强干扰对目标 DOA 估计的影响。然后，开发了网格演化技术的网格细化版本，以非均匀方式细化网格，从而在保持合理精度的同时降低计算复杂度。数值模拟和实验结果表明，与现有方法相比，在强干扰存在的情况下，所提出的方法具有更高的效率和更好的 DOA 估计性能。
