An Imaging Approach for TOPSAR Data Based on Azimuth Pre-processing and Post-processing

Xu  Wei; Deng  Yun-Kai

doi:10.3724/SP.J.1146.2010.00668

Volume 33 Issue 4

May 2011

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Xu Wei, Deng Yun-Kai. An Imaging Approach for TOPSAR Data Based on Azimuth Pre-processing and Post-processing[J]. Journal of Electronics & Information Technology, 2011, 33(4): 798-804. doi: 10.3724/SP.J.1146.2010.00668

Citation:

Xu Wei, Deng Yun-Kai. An Imaging Approach for TOPSAR Data Based on Azimuth Pre-processing and Post-processing[J]. Journal of Electronics & Information Technology, 2011, 33(4): 798-804. doi: 10.3724/SP.J.1146.2010.00668

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An Imaging Approach for TOPSAR Data Based on Azimuth Pre-processing and Post-processing

doi: 10.3724/SP.J.1146.2010.00668

Xu Wei^1
,,
Deng Yun-Kai¹

Received Date: 2010-06-29
Rev Recd Date: 2010-10-08
Publish Date: 2011-04-19

Abstract

Abstract

Burst mode and azimuth beam steering lead to echoes of TOPSAR mode obtain echo characteristics of both ScanSAR and spotlight mode, such as azimuth data folding in the output time domain and Doppler spectrum aliasing. Up-sampling both in the slow time and Doppler frequency domain can resolve the aliasing problem but with the unwanted result of seriously increased computational complexity and memory consumption. According to the TOPSAR raw data support in the slow Time/Frequency Domain (TFD), a new TOPSAR imaging approach combined with azimuth pre-processing and post-processing operations is proposed. The mosaiking with deramping operation approach is adopted to resolve the data aliasing problem. Furthermore, azimuth data interception is used to eliminate the disturbance signals and reduce azimuth total samples to improve the computational efficiency. Simulation results of point targets and distributed target validate the effectiveness of the presented imaging approach.
- TOPSAR (Terrain Observation by Progressive scans SAR),
- Burst mode,
- Beam steering,
- Aliasing,
- Chirp Scaling (CS) algorithm

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References(1)

References

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