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OTH雷达图像的粗糙度指标及用于射频干扰自适应抑制
引用本文:罗忠涛,郭人铭,郭杰,何子述,卢琨.OTH雷达图像的粗糙度指标及用于射频干扰自适应抑制[J].自动化学报,2022,48(3):887-895.
作者姓名:罗忠涛  郭人铭  郭杰  何子述  卢琨
作者单位:1.重庆邮电大学通信与信息工程学院 重庆 400065
基金项目:国家自然科学基金(61701067,61702065);;重庆市教育委员会科研基金(KJ1600427,KJ1600429)资助~~;
摘    要:针对OTH (Over-the-horizon) 雷达距离?多普勒(Range-Doppler, RD)图, 本文首次提出采用纹理粗糙度作为RD图质量的评价指标, 即计算RD图所转化灰度图的Tamura纹理粗糙度. 分析表明, 粗糙度指标能准确反映RD图受干扰情况, 对于不同灰度转换函数具有稳健性. 作为应用举例, 本文将图像粗糙度用于改进射频干扰抑制算法, 使干扰抑制达到自适应优化. 实验结果表明, Tamura粗糙度能够正确反映RD图干扰抑制情况, 优化粗糙度指标能够使干扰抑制自适应达到最优.

关 键 词:OTH雷达    距离?多普勒图    Tamura粗糙度    干扰抑制
收稿时间:2019-04-08

Tamura Coarseness for OTH Radar Image Evaluation and Its Application in Adaptive Optimization of Interference Suppression
Affiliation:1.School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 4000652.School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 6117313.Nanjing Research Institute of Electronics Technology, Nanjing 210013
Abstract:Tamura coarseness is introduced as a reasonable index for evaluating the quality of range-Doppler (RD) map in OTH (Over-the-horizon) radar. Tamura coarseness is calculated as the texture coarseness of a gray image which is transformed from the RD map. The analysis shows that Tamura coarseness can correctly reflect the radio frequency interference in the RD image and is also robust when the gray transforming function changes. As an example of its application, Tamura coarseness is adopted to improve the interference suppression algorithm, so that the suppression can be optimized adaptively. Simulation results show that Tamura coarseness can be used as a quality index of the RD image, which helps to suppress the interference perfectly.
Keywords:
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