Using SVD-FRFT Filtering to Suppress First-Order Sea Clutter in HFSWR
Autor: | Chen Zhao, Fei Xie, Chao He, Zezong Chen |
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Rok vydání: | 2017 |
Předmět: |
Computer science
Speech recognition Acoustics 0211 other engineering and technologies 02 engineering and technology Interference (wave propagation) Moving target indication law.invention Constant false alarm rate symbols.namesake law 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Radar 021101 geological & geomatics engineering Signal processing 020206 networking & telecommunications Filter (signal processing) Geotechnical Engineering and Engineering Geology Fractional Fourier transform Time–frequency analysis Surface wave Stationary target indication symbols Clutter Doppler effect |
Zdroj: | IEEE Geoscience and Remote Sensing Letters. 14:1076-1080 |
ISSN: | 1558-0571 1545-598X |
DOI: | 10.1109/lgrs.2017.2697458 |
Popis: | This letter presents a novel signal processing method for HF surface wave radar that offers a solution to suppress significant sea clutter interference. Conventional clutter rejection methods, when the target signal and first-order sea clutter are mixed in the Doppler spectrum, tend to eliminate both the target signal and clutter without distinction. To address this problem, the frequency-modulated difference between the target signal and clutter is considered. Target echoes can be characterized as a linear-frequency modulation signal in long coherent time, while first-order sea clutter can be regarded as a superposition of several single-frequency signals. Based on the hybrid use of singular value decomposition (SVD) and the fractional Fourier transform (FRFT), SVD-FRFT filtering is conducted to suppress the components of the first-order sea clutter without impairing the target signals. The effectiveness of this method is illustrated by simulation and experimental results. It is further demonstrated that SVD-FRFT filtering can improve the signal-to-clutter ratio (SCR) to up to 40 dB for different SCRs. |
Databáze: | OpenAIRE |
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