摘要 空时自适应处理（Space Time Adaptive Processing，STAP）技术通过空域和时域2维联合自适应滤波的方式，实现了机载雷达对强杂波与干扰的有效抑制。作为提升机载雷达性能的一项关键技术，近年来备受雷达领域的关注与世界军事强国的重视。该文从方法、实验系统和应用3个方面回顾了空时自适应处理技术的发展过程和研究现状，着重阐述了其发展过程中遇到的关键技术问题，介绍了STAP技术在装备上的应用情况，并讨论了下一步的发展趋势，提出了需要或值得进一步研究的方向。
Abstract：Used to suppress strong clutter and jamming in airborne radar data, Space Time Adaptive Processing (STAP) is a multidimensional adaptive filtering technique that simultaneously combines signals from elements of an antenna array and multiple pulses of coherent radar waveforms. As a key technology for improving the performance of airborne radar, it has attracted much attention in the field of radar research and from powerful military nations in recent years. In this paper, the research and development status of STAP technology is reviewed including methodologies, experimental systems, and applications and we focus on the key technical problems encountered during its development. Then, the application of STAP technology in equipment is introduced. Finally, the next development trends, future directions, and areas worthy of further research are presented.
谢文冲, 段克清, 王永良. 机载雷达空时自适应处理技术研究综述[J]. 雷达学报, 2017, 6(6): 575-586.
Xie Wenchong, Duan Keqing, Wang Yongliang. Space Time Adaptive Processing Technique for Airborne Radar: An Overview of Its Development and Prospects. JOURNAL OF RADARS, 2017, 6(6): 575-586.
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