摘要
空时自适应处理(Space-Time Adaptive Processing,STAP)是一种有效的机载雷达运动目标检测方法.空中目标的高速运动会导致其回波产生严重的距离走动和多普勒模糊,并且目标作加速运动时还会引起多普勒走动.为了有效检测上述目标,本文提出了一种新方法,该方法在目标距离走动校正之前首先进行杂波抑制,避免了直接利用Keystone变换校正存在多普勒模糊的运动目标距离走动时影响杂波分布特性、进而降低STAP性能的问题;然后对距离走动校正后的数据进行Wigner-Hough变换,估计出目标的加速度,并根据估计值对多普勒走动项进行补偿,从而使目标能量能够得到有效积累;最后进行运动目标检测.仿真结果证明了该方法的有效性.
Space-time adaptive processing is an effective method for moving target detection in airborne radar.However,high speed of air targets induce serious range walk and Doppler ambiguity.To make things worse,acceleration of the target will result in Doppler spread.To detect the above mentioned fast air maneuvering targets,a new method is proposed in this paper,which removes the clutter before Keystone formatting,hence the effects of Keystone formatting for the ambiguous targets＇ range walk compensation on the clutter distribution and further on the performance of STAP can be avoided.The Doppler spread of the target is compensated by the estimated acceleration via Wigner-Hough transform.Therefore,good detection performance of fast air maneuvering targets can be achieved.Effectiveness of the new method is verified via simulation examples.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2013年第1期86-90,共5页
Acta Electronica Sinica
基金
国家自然科学基金(No.61071194
No.61079008)
国家科技支撑计划课题(No.2011BAH24B12)
中央高校基本科研业务费(No.ZXH2011C006)
