Optimal Filtering of Partially Polarized Signals in the Interference Background
干扰环境中部分极化信号的最佳滤波

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.