摘要
干扰极化状态的估计是极化滤波器设计中首先要解决的问题。由于实际中干扰极化状态变化方式多样且随机,本文提出用交互多模卡尔曼滤波算法对干扰极化状态进行估计。由双通道极化回波模型建立卡尔曼递推方程,递推方程的结果用于极化滤波器的设计。仿真结果表明,文中提出的算法具有更好的适用性,可以对更复杂的干扰极化状态实现稳定估计。
The key problem of designing polarization filter is the estimation of polarization state of interference. Known the fact that the polarization state of interference changes randomly. An IMM Kalman filtering algorithm for the estimation of the polarization state of interference is proposed. An iterated function is established according to the echo of dual-channel polarization and the result of iterated is used for design of polarization filter. The simulation result shows that the proposed algorithm better fits the real situation and could be used for the estimation of more complex change of interference polarization state.
出处
《现代雷达》
CSCD
北大核心
2009年第6期38-42,46,共6页
Modern Radar
