干扰环境中部分极化信号的最佳滤波  

Optimal Filtering of Partially Polarized Signals in the Interference Background

作　　者：王雪松[1] 徐振海[1] 代大海[1] 肖顺平[1] 庄钊文[1] 

机构地区：[1]国防科技大学电子科学与工程学院,长沙410073

出　　处：《电子与信息学报》2004年第4期593-597,共5页Journal of Electronics & Information Technology

基　　金：全国优秀博士学位论文专项资金(08100101);国家自然科学基金(69902010)资助项目

摘　　要：研究了干扰环境中部分极化信号的最佳滤波问题,以信号干扰噪声比为优化对象,建立了带约 束非线性优化模型,利用拉格朗日乘子法和参量矩阵的反对称性,将非线性最优化问题巧妙地转化为二次代 数方程求根问题,得到了最优化问题两个备选解的解析表达式,给出了完整解法.The problem of optimal polarization filtering of partially polarized signals in the interference background is studied. With the index of Signal-to-Interference-and-Noise-Ratio (SINR) as the optimization object, a nonlinear optimization model is built. With the help of Lagrange multiplier method and properties of asymmetric matrix, the problem of SINR optimization is transferred to a root problem of a quadratic equation. Analytical expressions of two candidate solutions are achieved and the complete algorithm is presented.

关 键 词：部分极化信号 拉格朗日乘子法 参量矩阵 极化滤波 

分 类 号：TN97[电子电信—信号与信息处理]