摘要
提出一种在不损失训练样本数目的情况下,滤除样本中污染点(即强反射动目标或杂波孤立点)信息的方法,从而改善杂波协方差矩阵的估计效果,并进一步提高空时自适应处理对弱反射动目标的检测能力。通过理论分析和对机载双通道雷达实测数据的处理,验证了该方法的正确性和有效性。
For improving the performance of space-time adaptive processing （STAP） for the detection of smaller targets, a method is proposed to eliminate pollutions （i. e. strong targets and large clutter discretes） without loss of the limited samples, so that the estimated clutter covariance matrix is more close to the actual one. Through theoretical analysis and processing the real measured data, the method is proved to be exactness and feasible.
出处
《电波科学学报》
EI
CSCD
北大核心
2007年第3期470-475,共6页
Chinese Journal of Radio Science
基金
武器装备预研基金(51407030101DZ0120)
