Extraction of Wind Direction Spreading Factor From Broad-Beam High-Frequency Surface Wave Radar Data
Extraction of Wind Direction Spreading Factor From Broad-Beam High-Frequency Surface Wave Radar Data
复制标题
从宽波束高频面波雷达数据中提取风向扩展因子
DOI：
10.1109/tgrs.2017.2702394
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发表时间：
2017-09-01
影响因子：
8.2
通讯作者：
Wan, Bin
中科院分区：
文献类型：
--
作者：
Li, Chuan;Wu, Xiongbin;Wan, Bin
扩展因子被认为是控制波能方向分布集中度的关键参数。扩散因子与海面风之间存在一定的关系，这一点已被许多学者所证实。在高频地波雷达的应用中，扩频因子是从正（P-B（+））和负（P-B）布拉格峰的功率谱密度（PSD）的比值（RB）中提取的。要准确提取扩频因子，前提是检测单元的功率谱密度受相邻检测单元的影响尽可能小。对于窄波束雷达，数字波束形成（DBF）容易满足要求。但对于宽波束雷达，这是非常困难的。本文提出了一种利用MUSIC-APES算法从宽波束高频地波雷达数据中提取扩频因子的新方案。与DBF空间滤波不同，MUSIC-APES直接估计正、负布拉格波的方位角和回波幅度。对于宽波束雷达，该方案仍能同时实现高方位分辨率和精确的幅度估计。解决了从宽波束高频地波雷达数据中提取扩频因子的最大障碍。为了验证该方案的可行性，进行了仿真和实验，与DBF进行了比较。大大提高了提取精度。结果非常令人惊讶。结果表明，传播因子与风速高度相关。这可能是高频地波雷达应用中风速提取的一种新方法。
The spreading factor is considered as a key parameter that controls the concentration of the directional distribution of the wave energy. It has been confirmed by many scholars that there is a certain relationship between spreading factor and sea surface wind. In the application of high frequency surface wave radar (HFSWR), spreading factor is extracted from the ratio (RB) of power spectrum density (PSD) of positive (P-B(+)) and negative (P-B) Bragg peaks. To extract accurate spreading factor, the premise is that the PSD of detection unit is as little as possible affected by the adjacent detection units. For narrow-beam radar, digital beamforming (DBF) is easy to meet requirements. But for broad-beam radar, it is very difficult. In this paper, a new scheme is proposed to extract spreading factor from broad-beam HFSWR data with the MUSIC-APES algorithm. Different from spatial filtering by DBF, MUSIC-APES directly estimates the azimuth of positive or negative Bragg waves and their echo amplitudes. For broad-beam radar, this scheme can still achieve high azimuth resolution and accurate amplitude estimation at the same time. It solves the biggest obstacle to extract the spreading factor from broad-beam HFSWR data. To verify the feasibility of this scheme, simulations and experiments are carried out to compare with DBF. The extraction accuracy is improved greatly. The results are very surprising. It shows that spreading factor and wind speed are highly relevant. This may be a new way to extract wind speed in the application of HFSWR.