Space-based Radar System Analysis Based on Large Scale Sparse Array

PAN Jie; LI Daojing; ZHOU Jianwei; LU Xiaochun

doi:10.11999/JEIT160672

Volume 38 Issue 12

Jan. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(12): 3269-3274

Wang Xue-mei, Liu Wen-qiang, Deng Zi-li. Robust Covariance Intersection Fusion Steady-state Kalman Filter for Uncertain Systems[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1900-1905. doi: 10.11999/JEIT141515

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PAN Jie, LI Daojing, ZHOU Jianwei, LU Xiaochun. Space-based Radar System Analysis Based on Large Scale Sparse Array[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3269-3274. doi: 10.11999/JEIT160672

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Space-based Radar System Analysis Based on Large Scale Sparse Array

doi: 10.11999/JEIT160672

1.
2.
(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)

Received Date: 2016-06-27
Rev Recd Date: 2016-11-09
Publish Date: 2016-12-19

Abstract

Abstract

Space-Based Radar (SBR) can realize moving target detection and the high resolution imaging on a global scale. Based on large scale sparse array antenna, this paper discusses the space-based radar technology system and key technology. The system parameters are designed and its performance is analyzed for an X band MEO space-based radar. The large scale sparse array antenna provides a new selection for space-based radar.
- Space-Based Radar(SBR),
- Sparse array,
- Target detection,
- SAR imaging,
- Radar system

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References(30)

References

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