摘要
该文提出一种机载雷达空时3维非自适应预滤波方法。利用可提前确定的载机偏航角、脉冲重复频率、阵元间距等雷达系统和载机平台信息,通过分析阵元在相邻两脉冲采样数据的结构,设计了一种空时3维非自适应滤波器,先滤除大部分杂波,使得剩余少部分杂波在降维自适应处理时能被充分抑制,提高了动目标检测性能。理论分析和仿真实验表明,该预滤波方法对载机偏航具有兼容性,能大大降低杂波自由度,在整个杂波区都有一定的性能改善,尤其在主瓣杂波区性能改善明显。
A 3-D space-time nonadaptive pre-filtering approach in airborne radar is proposed in this paper. It makes full use of predictable radar system and platform parameters such as airborne crab, Pulse Repetition Frequency （PRF） and interelement spacing, and the 3-D space-time nonadaptive filter is easily designed by analyzing the structure of the received sampling data of two adjacent pulses. Most clutter is filtered previously so that small part of residual clutter can be sufficiently suppressed by reduced-dimensional adaptive processing. The simulation results confirm that the proposed pre-filtering approach is compatible with airborne crab and can reduce the Degree of Freedom （DoF） of clutter, and the moving target detection performance is improved in the whole clutter region, especially in mainlobe region.
出处
《电子与信息学报》
EI
CSCD
北大核心
2014年第1期215-219,共5页
Journal of Electronics & Information Technology
基金
国家自然科学基金(61271293)资助课题
关键词
机载雷达
动目标检测
空时3维
非自适应预滤波
Airborne radar
Moving target detection
Three-dimensional space-time
Nonadaptive pre-filtering
