空时自适应处理中基于知识的训练
样本选择策略

Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (2): 405-409.

空时自适应处理中基于知识的训练
样本选择策略

周宇，张林让，刘楠，刘昕

(西安电子科技大学雷达信号处理重点实验室, 陕西西安 710071)

出版日期:2010-02-03 发布日期:2010-01-03

Knowledge aided secondary data selection in space time adaptive processing

ZHOU Yu, ZHANG Lin-rang, LIU Nan, LIU Xin

(Key Lab. of Radar Signal Processing, Xidian Univ., Xi’an 710071, China)

Online:2010-02-03 Published:2010-01-03

摘要/Abstract

摘要：

针对空时自适应处理中样本协方差矩阵受干扰目标污染时检测性能下降的问题，提出了一种基于知识的空时自适应处理（knowledge aided space time adaptive processing, KASTAP）方法。该方法将待测距离单元杂波的先验知识与广义内积非同态检测器（general inner product nonhomogeneity detector, GIP NHD）结合，对训练样本进行有效选择。通过仿真证明该方法能有效剔除存在干扰目标的样本，提高训练样本被干扰目标污染时空时自适应处理的检测性能。

Abstract:

The performance of a disturbance covariance matrix is degradated in space time adaptive processing (STAP) when it is estimated with secondary data contaminated by targetlike signals. To solve the problem, a knowledge aided space time adaptive processing (KASTAP) scheme is presented,which incorporates knowledge sources of clutter with the general inner product nonhomogeneity detector (GIP NHD) in the secondary data selection of STAP. Simulation shows that the presented scheme screen out contaminated secondary data effectively and improve the performance of STAP.

周宇，张林让，刘楠，刘昕. 空时自适应处理中基于知识的训练
样本选择策略[J]. Journal of Systems Engineering and Electronics, 2010, 32(2): 405-409.

ZHOU Yu, ZHANG Lin-rang, LIU Nan, LIU Xin. Knowledge aided secondary data selection in space time adaptive processing[J]. Journal of Systems Engineering and Electronics, 2010, 32(2): 405-409.