摘要
Keystone变换所需的插值运算存在计算量大的问题,尤其是用于空时自适应处理(Space-Time Adaptive Processing,STAP)时需要对每个阵元接收的数据分别进行Keystone变换,给工程实现带来了困难.为了解决这一问题,提出了一种在波束域进行Keystone变换校正目标距离走动的新方法,该方法将传统的对每个阵元数据的Keystone变换转换为在波束域进行Keystone变换,从而将N个阵元对应的N次Keystone变换转换为只在主波束内进行一次Keystone变换,这样做使算法的主要运算量降低为原来的1/N.然后将压缩感知(Compressed Sensing,CS)理论用于空时自适应处理的目标参数估计,取得了良好的估计性能.最后通过仿真实验验证了本文方法的有效性.
Computation burden and the processing complexity of interpolation operation are the problems Keystone formatting faces. Especially in STAP, where Keystone formatting should be applied to each of the element, which makes it unfeasible for real time processing. Based on these, a new practical method with low computation burden is given, which removes the clutter firstly, and a space domain beam forming is done;after that, Keystone formatting is applied to the beam domain data for range walk compensa- tion. By the proposed method, only one Keystone formatting is needed compared with the KF-STAP method, therefore, the computa- tion burden can be reduced dramatically. Besides, a compressed sensing （CS） based targets＇ parameter estimation method is pro- posed for the targets＇ velocity estimation of STAP. Effectiveness of the proposed methods is verified via simulation examples.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2014年第1期14-19,共6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)
关键词
机载雷达
空时自适应处理
动目标检测
KEYSTONE变换
压缩感知
airborne radar
space-time adaptive processing （STAP）
moving target detection
keystone formatting
com- pressed sensing （CS）
