Coarseness in OTHR Image and Its Application for Diagonal Loading Factor Determination
Coarseness in OTHR Image and Its Application for Diagonal Loading Factor Determination
复制标题
OTHR图像的粗糙度及其在对角线负载因子确定中的应用
DOI：
10.1109/lgrs.2019.2950229
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发表时间：
2020
影响因子：
4.8
通讯作者：
Shi Shengnan
中科院分区：
文献类型：
--
作者：
Wang Zhaoyi;Luo Zhongtao;He Zishu;Shi Shengnan
天波超视距雷达的高频频段被多台无线电设备共享，容易受到射频干扰。通过空间和时间处理，已经开发了各种RFI抑制技术。然而，在实际应用中，由于干扰特性通常是未知的，因此干扰抑制效果的评估仍然是困难的。在这封信中，田村粗糙度被引入作为一个指标来评估RFI及其抑制算法。通过对距离-多普勒图的RFI分析，建立了粗度与信干噪比的关系。文中还给出了一个粗糙度应用实例，其中对自适应波束形成器的对角加载因子进行了优化。通过实验数据验证了该方案的粗糙度分析和性能。
The sky-wave over-the-horizon radar is easily interfered with by radio frequency interference (RFI) since the high-frequency band is shared by many radio devices. Various RFI suppression techniques have been developed by both spatial and temporal processing. However, in practice, where the interference characteristic is usually unknown, it is still hard to evaluate the effects of interference suppression. In this letter, the Tamura coarseness is introduced as an indicator to evaluate the RFI and its suppression algorithms. By analyzing the range-Doppler maps with RFI, the relationship between coarseness and signal-to-interference-plus-noise ratio is established. An application example of coarseness is also given, in which the diagonal loading factor of adaptive beamformer is optimized. The analysis of coarseness and performance of proposed scheme are demonstrated by experimental data.