Subaperture Imaging Algorithm for Missile-borne SAR

JIANG Huai; CHEN Si; ZHAO Huichang; HAN Min; ZHANG Shuning

doi:10.11999/JEIT161337

Volume 39 Issue 10

Oct. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(10): 2526-2530

JIANG Huai, CHEN Si, ZHAO Huichang, HAN Min, ZHANG Shuning. Subaperture Imaging Algorithm for Missile-borne SAR[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2526-2530. doi: 10.11999/JEIT161337

Citation:

JIANG Huai, CHEN Si, ZHAO Huichang, HAN Min, ZHANG Shuning. Subaperture Imaging Algorithm for Missile-borne SAR[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2526-2530. doi: 10.11999/JEIT161337

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Subaperture Imaging Algorithm for Missile-borne SAR

doi: 10.11999/JEIT161337

1.
(School of Electronic &
2.
(State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210094, China)

Funds:

The National Natural Science Foundation of China (61301216), The Natural Science Foundation of Jiangsu Province (BK20160848)

Received Date: 2016-12-08
Rev Recd Date: 2017-05-09
Publish Date: 2017-10-19

Abstract

Abstract

In the missile borne subaperture SAR mode, the complicate motion of the platform and the strong coupling between range and azimuth present substantial difficulty for echo data processing. To solve this problem, the range migration characteristics of the echo are analyzed and a secondary frequency function is introduced for uniform migration correction. During the azimuth processing, the azimuth frequency domain projection is applied to compensating the Doppler frequency modulation variation. Compared with the traditional algorithm, this proposed algorithm can focus the echo more effectively. Simulation results show the correctness and validity of the proposed algorithm.
- Missile-borne SAR,
- Subaperture imaging,
- 2-D acceleration,
- Azimuth frequency domain projection

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References(15)

References

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