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| 基于子阵近场零陷权的联合波达方向估计方法 | |
| 引用本文： | 生雪莉, 刘婷, 杨超然, 郭龙祥, 穆梦飞. 基于子阵近场零陷权的联合波达方向估计方法[J]. 电子与信息学报, 2021, 43(3): 727-734. doi: 10.11999/JEIT200637 |
| 作者姓名： | 生雪莉 刘婷 杨超然 郭龙祥 穆梦飞 |
| 作者单位： | 1.哈尔滨工程大学水声技术重点实验室 哈尔滨 150001;;2.海洋信息获取与安全重点实验室(哈尔滨工程大学)工业和信息化部 哈尔滨 150001;;3.哈尔滨工程大学水声工程学院 哈尔滨 150001 |
| 基金项目： | 国家自然科学基金(51979061, 51779061) |
| 摘 要： |  针对海底长线阵在近场辐射声干扰及空间水平非均匀噪声下的远距离估计目标波达方向(DoA)问题,该文提出一种基于长线阵分子阵近场零陷权的联合目标方位估计方法.该方法将长线阵分解为多个高重叠子阵,对各个子阵利用零陷抑制技术去除近场强干扰对目标探测的影响,再利用各子阵对远距离目标方位估计结果差异性小、非目标所在频率即噪声对应空... |
| 关 键 词： | 波达方向估计 远距离探测 近场零陷权 非均匀噪声 分子阵 |
| 收稿时间： | 2020-07-30 |
| 修稿时间： | 2021-01-16 |
Joint Direction of Arrival Estimation of Subarrays Based on Near-field Nulling Weight |
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| Xueli SHENG, Ting LIU, Chaoran YANG, Longxiang GUO, Mengfei MU. Joint Direction of Arrival Estimation of Subarrays Based on Near-field Nulling Weight[J]. Journal of Electronics & Information Technology, 2021, 43(3): 727-734. doi: 10.11999/JEIT200637 | |
| Authors: | Xueli SHENG Ting LIU Chaoran YANG Longxiang GUO Mengfei MU |
| Affiliation: | 1. Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China;;2. Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China;;3. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China |
| Abstract: | As for long-range target Direction of Arrival (DoA) estimation with benthonic long linear arrays under near-field acoustic interference and space non-stationary noise, a novel joint DoA estimation of subarrays algorithm is proposed, which is based on near-field nulling weight. The long linear array is divided into several high overlap subarrays. The near-field nulling weight is calculated for subarrays to eliminate the effect of the near-field interference on target detection. The spatial frequency variance weighted joint DoA method is presented based on the little discrepancy of the subarrays’ DoA estimates to repress the space nonuniform noise and detect the target in a long distance. The maximum value of spatial spectrum is random in the frequencies without the target because of the space non-stationary noise. The simulation results show that compared with long-linear-array conventional beamforming, long-linear-array conventional beamforming based on near-field nulling weight and long-linear-array multiple signal classification based on near-field nulling weight method, this proposed technique can effectively reduce the background level of spatial spectrum (over 60 dB), improve signal to noise ratio (above 15 dB) and has high spatial resolution, with better engineering application value. |
| Keywords: | Direction-of-Arrival (DoA) estimation Long range detection Near-field nulling weight Nonuniform noise Subarrays |
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