引用本文: | 王万田,袁俊泉,王力宝,陈阿磊. 天空双基地预警雷达长时间相参积累算法研究[J]. 雷达科学与技术, 2017, 15(4): 397-402.[点击复制] |
WANG Wantian, YUAN Junquan, WANG Libao, CHEN Alei. Long-Time Coherent Integration Algorithm for Space-Air Based Bistatic Early Warning Radar[J]. Radar Science and Technology, 2017, 15(4): 397-402.[点击复制] |
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摘要: |
天空双基地预警雷达体制中,信号传播距离远,回波信噪比低,且目标高速运动常导致回波越距离单元走动,从而影响目标检测性能。针对这一问题,将Keystone变换用于天空双基地预警雷达体制中,在建立空间几何模型的基础上,分析了回波越距离单元走动特性,应用Keystone变换校正距离单元走动,并进行解多普勒模糊处理和基于单元选大准则的数据处理。该方法可以用于多个不同距离和速度的目标距离走动校正和相参积累检测。仿真结果验证了该方法具有良好的多目标检测性能。 |
关键词: 空双基地预警雷达 Keystone变换 距离单元走动 相参积累 目标检测 |
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基金项目:学院科研创新基金重大基础研究专项课题(No.ZDJC0102) |
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Long-Time Coherent Integration Algorithm for Space-Air Based Bistatic Early Warning Radar |
WANG Wantian, YUAN Junquan, WANG Libao, CHEN Alei
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Air Force Early Warning Academy
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Abstract: |
In space-air based bistatic early warning radar, the signal propagation distance is so far that the echo signal-to-noise ratio is low; besides, the echo range migration caused by high velocity motion of targets may affect the performance of target detection. Aiming to solve this problem, Keystone transform is applied in the space-air based bistatic early warning radar system in this paper. Based on the spatial geometric model, the feature of range migration is analyzed and the range migration is compensated using Keystone transform. Then, the Doppler ambiguity is resolved and the data processing is done by choosing big data unit. The proposed method can be used to correct range migration and detect multiple targets with different distances and velocities by long-time coherent integration. Simulation results show that the proposed method offers higher detection performance for multiple targets. |
Key words: space-air based bistatic early warning radar Keystone transform range migration coherent integration target detection |