Joint Estimation Algorithm for Azimuth Velocity and Normal Velocity of Moving Targets in Airborne Multi-channel SAR

Wen JIANG; Jie NIU; Yirong WU; Xingdong LIANG

doi:10.11999/JEIT190672

Volume 42 Issue 6

Jun. 2020

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Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(6): 1542-1548

Yu Zheng-Yuan. FREQUENCY-NEGATIVE RESISTANCE EFFECT AND COMBINATION OSCILLATOR[J]. Journal of Electronics & Information Technology, 1982, 4(2): 86-96.

Citation:

Wen JIANG, Jie NIU, Yirong WU, Xingdong LIANG. Joint Estimation Algorithm for Azimuth Velocity and Normal Velocity of Moving Targets in Airborne Multi-channel SAR[J]. Journal of Electronics & Information Technology, 2020, 42(6): 1542-1548. doi: 10.11999/JEIT190672

Yu Zheng-Yuan. FREQUENCY-NEGATIVE RESISTANCE EFFECT AND COMBINATION OSCILLATOR[J]. Journal of Electronics & Information Technology, 1982, 4(2): 86-96.

Citation:

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Joint Estimation Algorithm for Azimuth Velocity and Normal Velocity of Moving Targets in Airborne Multi-channel SAR

doi: 10.11999/JEIT190672

Wen JIANG^{1, 2, 3
,
,},
Jie NIU^{1, 2, 3},
Yirong WU^{1, 2},
Xingdong LIANG^{1, 2}

1.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
2.
National Key Laboratory of Microwave Imaging Technology, Beijing 100190, China
3.
University of Chinese Academy of Sciences, Beijing 100049, China

Received Date: 2019-09-02
Rev Recd Date: 2020-02-14

Available Online: 2020-03-04

Publish Date: 2020-06-22

Abstract

Abstract

Parameter estimation is essential for SAR imaging of moving targets. The existing algorithms mainly estimate the radial velocity and azimuth velocity of the moving target, but the normal velocity of the three-dimensional moving target can not be estimated. In this paper, a joint estimation algorithm of azimuth velocity and normal velocity is proposed by using an airborne multi-channel SAR system with L-shaped baseline. The algorithm extracts the moving target signal in Range-Doppler domain, and estimates the azimuth and normal velocity jointly using the phase differences between multiple SAR images. The algorithm does not rely on image registration, does not need to solve Doppler ambiguity. Therefore, the algorithm has high estimation accuracy and robustness, and has strong practical significance and application value.
- Airborne multi-channel SAR,
- Moving target detection,
- Azimuth velocity,
- Normal velocity,
- Velocity estimation

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References(19)

References

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