机载单电磁矢量传感器时变信号参数估计算法

Time-varying signal parameter estimation algorithm for airborne single electromagnetic vector sensor

机载单电磁矢量传感器通常要处理参数随时间变化的信号,本文将基于压缩映射的投影逼近子空间更新(PASTd)算法与ESPRIT算法、矢量叉乘算法相结合应用于单电磁矢量传感器,该算法不需要特征值分解,不仅有效减小了计算量,而且能够追踪时变信号的波达方向和极化状态参数。仿真验证了算法的性能。

Airborne single electromagnetic vector sensors usually have to handle signals whose parameters vary with＇time. This paper uses projection approximation subspace tracking （PASTd） based on mappings algorithm in single electromagnetic vector sensor by combining it with ESPRIT and vector cross product algorithm. The algorithm doesn＇t need eigenvalue decomposition while not only reduces computation, but also can simultaneously track signal＇s DOA and the polarization state parameters. The simulation results verifv the performance of the algorithm.