STAP中采样支持问题研究

在机载雷达空时二维自适应处理 (STAP)中 ,足够数量的IID采样数据才可以构成杂波相关矩阵的有效估计 ,而实际雷达工作环境中的采样数总是有限的 针对这一问题 ,提出了将前后平均 ,对角加载 ,与降维处理相结合来降低采样数目要求 ,解决采样支持问题的方案 ,并进行了理论分析与仿真。显然 ,通过采用适当的降维处理与前后平均及对角加载相结合 ,所需采样数最多可降低到仅用 3～ 5个

Research on the Problem of Sample Support in STAP

In the airborne radar space time adaptive processing (STAP), the interference covariance matrix must be estimated from the IID samples which are always limited in practice. Aimed at this problem, this paper studies the combination of the forward backward averaging (FB), diagonal loading (DL) and the reduced rank processing to reduce the required sample number as much as possible. Through analysis and simulations, it is demonstrated that by using proper reduced rank processing, combined with FB and DL, the required sample number can be largely reduced to even 3 5 samples.