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| Crossterm suppression in Wiger-Ville distribution based on "CLEAN" in frequency |
| Zou Hong; Bao Zheng |
| Key Lab for Radar Signal Processing Xidian University Xi' an 710071 China |
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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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Received: 19 October 1999
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2002, Vol. 24 
