TY - GEN
T1 - Parameter estimation and imaging for moving targets in airborne SAR with single antenna
AU - Jiang, Yicheng
AU - Wang, Hanyun
N1 - Publisher Copyright:
© 2019, Springer Nature Singapore Pte Ltd.
PY - 2019
Y1 - 2019
N2 - This paper proposes a novel algorithm for moving target parameter estimation and imaging, which is especially applicable for single-antenna airborne synthetic aperture radar (SAR). Firstly, fractional Fourier transform (FrFT) is utilized to estimate Doppler parameters. We also simultaneously make the SAR range migration correction according to the estimated parameters. Next, an adaptive maximum amplitude extraction algorithm is proposed to separate a single target from multiple targets. After the completion of data extraction, we adopt the cross-correlation accumulation method and the Doppler centroid tracking method to realize motion compensation. Finally, the focused imaging results of several moving targets can be obtained. The proposed algorithm can estimate Doppler parameters accurately and image moving targets successfully. Its strong feasibility and high effectiveness are validated by SAR real data processing.
AB - This paper proposes a novel algorithm for moving target parameter estimation and imaging, which is especially applicable for single-antenna airborne synthetic aperture radar (SAR). Firstly, fractional Fourier transform (FrFT) is utilized to estimate Doppler parameters. We also simultaneously make the SAR range migration correction according to the estimated parameters. Next, an adaptive maximum amplitude extraction algorithm is proposed to separate a single target from multiple targets. After the completion of data extraction, we adopt the cross-correlation accumulation method and the Doppler centroid tracking method to realize motion compensation. Finally, the focused imaging results of several moving targets can be obtained. The proposed algorithm can estimate Doppler parameters accurately and image moving targets successfully. Its strong feasibility and high effectiveness are validated by SAR real data processing.
KW - Adaptive maximum amplitude extraction algorithm
KW - Fractional Fourier transform (FrFT)
KW - Moving target imaging
KW - Parameter estimation
KW - Synthetic aperture radar (SAR)
UR - https://www.scopus.com/pages/publications/85048692807
U2 - 10.1007/978-981-10-6571-2_189
DO - 10.1007/978-981-10-6571-2_189
M3 - 会议稿件
AN - SCOPUS:85048692807
SN - 9789811065705
T3 - Lecture Notes in Electrical Engineering
SP - 1564
EP - 1571
BT - Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems
A2 - Liang, Qilian
A2 - Jia, Min
A2 - Mu, Jiasong
A2 - Wang, Wei
A2 - Feng, Xuhong
A2 - Zhang, Baoju
PB - Springer Verlag
T2 - 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017
Y2 - 14 July 2017 through 16 July 2017
ER -