基于頻域CLEANWigner-Ville分布中交叉項的抑制
Crossterm suppression in Wiger-Ville distribution based on CLEAN in frequency
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摘要: 針對ISAR飛機成像中出現(xiàn)的多分量線性調(diào)頻(chirp)信號,該文提出一種基于頻域CLEAN的信號分解方法,將其分解成多個單分量chirp信號,然后分別計算每個單分量的Wigner-Ville分布(WVD),以此來抑制此多分量信號WVD中的交叉項,與已有的chirp信號分解方法相比,該法減少了待估計參數(shù)的個數(shù),使得計算更加簡單,并能保證信號各分量正確的強度及時頻變化特征。經(jīng)過處理后的信號的WVD,保持了WVD高時頻分辨率的特點,而交叉項得到了很好的抑制。實驗表明,該方法應用于實測數(shù)據(jù),成像質量明顯提高了。Abstract: With respect to multicomponent chirp signals appeared in ISAR imaging, a new signal decomposition method based on CLEAN in frequency domain is proposed to suppress crossterms in Wigner-Ville Distribution (WVD), in which the multicomponents are first decomposed and then WVD of each decomposed one is computed. Compared with other chirp decomposition method available, the method presented here not only reduces the number of parameters to be estimated, which simplifies the computation, but also keeps the correct signal features. As shown in the experiment, a clearer time-frequency distribution with high time frequency resolution and greatly suppressed crossterms can e obtained, and the ISAR imaging quality is improved greatly.
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