A Novel ISAR Imaging Algorithm for Microwave Photonics Radar

Lichao YANG; Mengdao XING; Guangcai SUN; Anle WANG; Jialian SHENG

doi:10.11999/JEIT180661

Volume 41 Issue 6

Jun. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(6): 1271-1279

Lichao YANG, Mengdao XING, Guangcai SUN, Anle WANG, Jialian SHENG. A Novel ISAR Imaging Algorithm for Microwave Photonics Radar[J]. Journal of Electronics & Information Technology, 2019, 41(6): 1271-1279. doi: 10.11999/JEIT180661

Citation:

Lichao YANG, Mengdao XING, Guangcai SUN, Anle WANG, Jialian SHENG. A Novel ISAR Imaging Algorithm for Microwave Photonics Radar[J]. Journal of Electronics & Information Technology, 2019, 41(6): 1271-1279. doi: 10.11999/JEIT180661

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A Novel ISAR Imaging Algorithm for Microwave Photonics Radar

doi: 10.11999/JEIT180661 cstr: 32379.14.JEIT180661

1.
National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
2.
Microwave Photonics Center, Wuhan Electronic Institute, Wuhan 430017, China
3.
Shanghai Radio Equipment Research Institute, Shanghai 201109, China

Funds: The National Natural Science Foundation of China (61621005), The Natural Science Foundation of Shanghai (17ZR1428700)

Received Date: 2018-07-04
Rev Recd Date: 2019-01-10

Available Online: 2019-01-30

Publish Date: 2019-06-01

Abstract

Abstract

Microwave photonics radar generates signals with large bandwidth and small wavelength. It has capability of ultra-high resolution of Inverse Synthetic Aperture Radar(ISAR) image. Because the approximation of rotational components is not tenable, traditional ISAR imaging algorithm is not suitable to microwave photonics radar. In the microwave photonics radar imaging, the rotational components result in range curvature and quadratic phase error changing with distance. To solve this problem, an effective ISAR imaging algorithm is put forward which considers the influence of the target’s rotational component to echo envelope and phase. The value of envelope correlation is take as objective function and the target’s rotate speed is estimated by iteration; The range curvature is corrected by time resampling; The quadratic phase error is compensated by azimuth compensation function. Both simulated and real-measured data experimental results confirm the effectiveness of the proposed algorithm.
- Microwave photonics radar,
- Inverse Synthetic Aperture Radar (ISAR),
- Rotate speed estimation,
- Envelope correction,
- Phase compensation

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References(21)

References

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