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| Two-Dimensional Super-Resolution Imaging of Radar Target
Based on Fourth-Order Mixed Cumulants |
| Gao Xun-zhang; Li Xiang; Zhuang Zhao-wen |
| ATR Lab., National University of Defense Technology, Changsha 410073, China |
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Abstract A new method for two-dimensional super-resolution imaging of radar target in colored Gaussian noise, called two-dimensional FOMC (Fourth-Order Mixed Cumulants) based ESPRIT (2d-FOMCESPRIT) , is presented in this paper. The image is improved for the FOMC could eliminate the Gaussian noise automatically. Additionally this method is computationally much less intensive by holding the dimensions of the feature matrix in the presence of long records. Simulation results show that this method has better image quality than other methods.
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Received: 26 April 2004
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2005, Vol. 27 
