摘要
利用发生破碎的海洋回波多普勒谱的幅度和中心频率显著增强的特点,通过设置阈值门限的方法检测发生波浪破碎的距离元,得到雷达探测海域中破碎波发生的位置.并对被破碎干扰的数据进行经验模式分解处理,消除破碎波造成的影响.实测数据处理结果表明:破碎波检测结果和实际情况一致,对发生破碎的距离元数据处理后减小了多普勒谱中心频率的偏差,提高了反演结果的准确性,进而验证了此算法的有效性.
Microwave Doppler radar take use of backscatter from ocean surface to get ocean information.Breaking waves will interfere radar echo and lead to decrease of radar measurement accuracy.In this paper,threshold was set to detect breaking waves,and the location that waves break was gotten,with the characteristics that amplitude and Doppler frequency of sea clutter Doppler spectrum significantly enhanced when waves break.Processing data that influenced by breaking waves were processed by the way of EMD（empirical mode decomposition）to eliminate error caused by breaking waves.Processing of measured data shows that the detection results are consistent with the fact,and the EMD processing algorithm reduces the error in center frequency estimation and improves the accuracy of inversion algorithm.The effectiveness of this algorithm is verified by measured data.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2016年第8期85-88,共4页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(41376182)
湖北省科技支撑计划资助项目(2014BEC057)
中央高校基本科研业务费专项资金资助项目(2042014kf0028)
国家海洋局数字海洋科学技术重点实验室开放基金资助项目(KLD0201401)
关键词
海洋回波
多普勒谱
破碎波
检测
经验模态分解
sea clutter
Doppler spectrum
breaking wave
detection
EMD（empirical mode decomposition）
作者简介
陈泽宗（1966-），男，教授，Email：chenzz@whu．edu．cn．
