摘要
在非均匀环境下,由于辅助数据不能准确反映待测距离门的统计特性,传统的空时自适应方法将不能有效地抑制干扰。介绍了机载雷达在非均匀杂波环境下的基于直接数据域的空时自适应信号处理方法。这是一种确定性的最小二乘自适应信号处理方法,通过“快拍-快拍”数据来确定零化干扰的自适应权值。这种方法不需要通过邻近距离门的辅助数据来估计样本协方差矩阵,避免了矩阵求逆运算,可实时运行。仿真结果表明,这种方法可以在非均匀杂波环境下有效地抑制干扰。
In non-homogeneous environment, traditional space-time adaptive processing doesn＇t effectively suppress interference and detect target, because the secondary data don＇t exactly reflect the statistical characteristic of the range cell under test. A novel methodology utilizing the direct data domain approach to Space-time Adaptive Processing （STAP） in airborne radar non-homogeneous environments is presented. The deterministic least squares adaptive signal processing technique operates on a ＂snapshot-by-snapshot＂ basis to determine the adaptive weights for nulling interferences. Furthermore, this approach eliminates the requirement for estimating the covariance through the data of neighboring range cell, which eliminates calculating the inverse of covariance, and can be implemented to operate in real-time. Simulation results illustrate the efficiency of interference suppression in non-homogeneous environment.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2005年第12期2901-2903,2907,共4页
Journal of System Simulation
基金
国家重点基础研究发展规划(973)项目(2001CB309403)
关键词
空时自适应处理
直接数据域
干扰抑制
非均匀环境
space-time adaptive processing
direct data domain
interference suppression
non-homogeneous environment
