一种有效色加载因子的知识辅助STAP方法  

A Knowledge-Aided STAP Approach with Effective Color Loading Factors

作　　者：高永婵[1] 廖桂生[1] 朱圣棋[1] 杨东[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《电子学报》2012年第10期2101-2106,共6页Acta Electronica Sinica

基　　金：国家杰出青年科学基金(No.60825104);国家973重点基础研究发展计划(No.2010CB731903);西安电子科技大学基本科研业务费(No.k50510020014);长江学者和创新团队发展计划(No.IRT0954)

摘　　要：针对非均匀杂波环境里独立同分布训练样本较少的问题,本文提出了一种知识辅助的LCMV-STAP方法.该方法首先求解出知识辅助的LCMV-STAP模型中的权矢量表达式,然后推导出色加载因子与约束常数的关系式,最后求解出两个色加载因子.仿真结果表明,与传统STAP方法相比,知识辅助的LCMV-STAP方法在非均匀杂波环境下仍能获得较好的输出信干噪比,自适应匹配滤波器检测目标的概率优于传统STAP方法.There are not adequate independent and identically dislributed training samples under a heterogeneous clutter envi ronment. Thus, this paper proposes a knowledge-aided I_L-g^-STAP approach. Firstly, the weight of knowledge-aided LMV-STAP model is solved, and then the formula of the relationship between the color loading factors and the constraint constants is derived.Fi- nally,the two color loading factors are solved. The computer simulations show that knowledge-aided LCMV-STAP has a better out put signai-interference noise ratio than the traditional approach under a heterogeneous clutter environment, and the detection proba- bility of Adaptive Matched Filter is higher than that of the traditional approach.

关 键 词：空时自适应处理 先验知识 色加载 杂波抑制 自适应匹配滤波器 

分 类 号：TN957.51[电子电信—信号与信息处理]