Phase Bias Estimation Algorithm for HRWS SAR System in Azimuth Based on Doppler Spectrum Optimization

WANG Zhibin; LIU Yanyang; LI Zhenfang; CHEN Junli

doi:10.11999/JEIT161038

Volume 38 Issue 12

Jan. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(12): 3026-3033

WANG Zhibin, LIU Yanyang, LI Zhenfang, CHEN Junli. Phase Bias Estimation Algorithm for HRWS SAR System in Azimuth Based on Doppler Spectrum Optimization[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3026-3033. doi: 10.11999/JEIT161038

Citation:

WANG Zhibin, LIU Yanyang, LI Zhenfang, CHEN Junli. Phase Bias Estimation Algorithm for HRWS SAR System in Azimuth Based on Doppler Spectrum Optimization[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3026-3033. doi: 10.11999/JEIT161038

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Phase Bias Estimation Algorithm for HRWS SAR System in Azimuth Based on Doppler Spectrum Optimization

doi: 10.11999/JEIT161038

1.
(National Laboratory of Radar Signal Processing, Xidian University, Xi&rsquo
2.
(Shanghai Institute of Satellite Engineering, Shanghai 201109, China)

Funds:

The National Natural Science Foundation of China (61471276, 61601298, 61671355)

Received Date: 2016-10-08
Rev Recd Date: 2016-11-28
Publish Date: 2016-12-19

Abstract

Abstract

By suppressing the Doppler ambiguity, the along-track multi-channel Synthetic Aperture Radar (SAR) system can simultaneously achieve High-Resolution and Wide-Swath (HRWS) imaging. However, the presence of unavoidable amplitude and phase bias tends to the absence of ambiguous signals in the SAR images. To address this issue, a novel phase bias estimation algorithm based on Doppler spectrum optimization is proposed. By exploiting the fact that phase bias can cause Doppler spectrum broadened, the phase bias can be successfully estimated by optimizing the Doppler spectrum. The Doppler centroid estimation can be avoided before phase biases estimation, which reduces the estimation accuracy caused by the inaccurate Doppler centroid. The proposed algorithm can achieve better performance when Signal to Noise Ratio (SNR) is low. The effectiveness of the algorithm is validated by experimental results carried out on simulated data and SAR data collected by an air- borne multi-channel system.
- Synthetic Aperture Radar (SAR),
- High-Resolution and Wide-Swath (HRWS),
- Multi-channel,
- Digital Beam-Forming (DBF),
- Phase bias estimation,
- Doppler spectrum optimization

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References(26)

References

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