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| Study on LMFS ISAR Imaging Algorithm Based on Coherence Processing |
| Quan Ying-hui Li Ya-chao Xing Meng-dao Bao Zheng |
| National Key Lab. for Radar Signal Processing, Xidian University, Xi’an 710071, China |
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Abstract The conventional methods for the stepped-frequency high resolution ISAR imaging are usually difficult to accurately estimate the velocity and acceleration of a moving target. Thus, the residual phase error via the motion compensation has a serious effect on an ISAR image. Consequently, a novel method based on the adjacent correlation and the coherent processing for realizing the high resolution ISAR imaging is proposed in this paper. The motion parameters can be estimated by the adjacent correlation and be used for the compensation of the range migration. Then, the phase error among all sub-pulse in a pulse team also can be obtained and compensated by the coherent processing. Thus, by the bandwidth combination in the frequency dimension and the range-Doppler algorithm, the high resolution ISAR image can be obtained. This method has some advantages of the precise phase compensation and the light computation load. Finally, the simulated and real data confirm the effectiveness of proposed method in this paper.
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Received: 12 June 2009
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Corresponding Authors:
Quan Ying-hui
E-mail: quanyinghui@126.com
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2010, Vol. 32 
