摘要
针对机载雷达空中多机动目标的检测问题,提出了一种基于RELAX算法的空中多机动目标检测与参数估计方法。该方法将重构时间采样技术与RELAX算法相结合,有效地抑制了检测过程中强信号分量对弱信号分量的影响,在待测单元内存在多个目标时,能够获得很好的参数估计结果,并且在脉冲点数有限的情况下,该方法得到的参数估计精度依然很高。同时,本文还推导了空中多机动目标参数估值的克拉美罗界(CRB),为估计结果提供了理论下限。仿真结果证明了该方法的有效性。
In this paper, a method based on RELAX is presented for detecting the multicomponent air maneuvering targets with the strong clutter background. This method combines the technique of reconstructing time samples with RELAX and ef- fectively suppresses the interferences by stronger targets on the detection of weak targetsr. Therefore, the detection per- formance and parameter estimation precision of the multicomponent targets are enhanced at the same time. The method can provide an accurate estimate of the parameters even when the data sample is limited. At the same time, the Cramer-Rao bounds （CRBs） for the multicomponent maneuvering targets in airborne radar are derived. The effectiveness of the method is verified via simulated data.
出处
《航空学报》
EI
CAS
CSCD
北大核心
2013年第4期873-881,共9页
Acta Aeronautica et Astronautica Sinica
基金
国家自然科学基金(61071194
61231017
60979002
61079008)
中国民航大学基金(2011kyE06)~~
关键词
机载雷达
机动目标检测
空时自适应处理
RELAX
重构时间采样
airborne radar
maneuvering target detection
space-time adaptive processing
RELAX
reconstructingtime samples
