杂乱
包络线(雷达)
雷达
恒虚警率
雷达地平仪
遥感
动目标指示
希尔伯特-黄变换
静止目标指示
连续波雷达
振幅
计算机科学
地质学
声学
算法
雷达成像
物理
计算机视觉
电信
光学
滤波器(信号处理)
作者
M. C. Neethu Mohan,Binu Paul,V. Rakesh,Rejoy Rebello,Pezholil Mohanan,S. Abhilash
出处
期刊:IEEE Transactions on Geoscience and Remote Sensing
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:60: 1-8
标识
DOI:10.1109/tgrs.2022.3223386
摘要
An Empirical Mode Decomposition (EMD) based intermittent and ground clutter removal algorithm for Radar Windprofilers is proposed. Intrinsic Mode Functions (IMFs) affected with intermittent clutter are identified and are separated into Amplitude Modulated (AM) and Frequency Modulated (FM) parts. The FM part is multiplied with the envelope of the non-amplitude modulated signal derived from the original amplitude modulated IMF to nullify the effect of intermittent clutter. The IMFs corresponding to ground clutter are identified from the Maximum Entropy Spectral Analysis (MESA) and are rejected prior to signal reconstruction in ground clutter removal. The proposed algorithm is applied on the radar returns of 205 MHz Windprofiler at Advanced Centre for Atmospheric Radar Research (ACARR) of Cochin University of Science and Technology(CUSAT), Cochin, Kerala, India (10.04°N, 76.33°E). The windprofiler signals corrupted with flight and helicopter echoes are retrieved and the ground clutter signatures, which were not removed with existing ground clutter removal methods are removed with the proposed algorithm.
科研通智能强力驱动
Strongly Powered by AbleSci AI