①(Institute of Information and Navigation, Air Force Engineering University, Xi’an 710077, China) ②(Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory, Shijiazhuang 050081, China)
为了有效辅助跳频(FH)网台分选和信号识别、跟踪，该文用正交偶极子对构造极化敏感阵列，基于空间极化时频分析，在欠定条件下实现了多跳频信号波达方向(Direction Of Arrival, DOA)与极化状态的高效联合估计。首先建立跳频信号的极化敏感阵列观察模型，然后根据参考阵元时频分析结果建立各跳信号的空间极化时频分布矩阵，再利用该矩阵中蕴含的信号极化-空域特征信息分别运用线性、二次型空间极化时频以及多项式求根共3种方法实现DOA与极化参数联合估计，最后蒙特卡罗仿真结果验证了该算法的有效性。
In this paper, with the purpose of sorting frequency-hopping networks, identifying and tracking signals, a joint estimation of Direction Of Arrival (DOA) and polarization for multiple frequency-hopping signals is carried out in underdetermined condition, which is based on the spatial polarization time-frequency analysis and implemented by constructing polarization sensitive array with orthogonal dipole elements. Firstly, the observation model for polarization sensitive array of frequency-hopping signals is built. Then the spatial polarimetric time-frequency distribution matrix for every hop signal is generated in the knowledge of reference sensor time-frequency analysis. From this matrix, the polarization and spatial characteristic information can be extracted, which used for the joint estimation of DOA and polarization in linear, quadratic spatial polarization time-frequency analysis and polynomial rooting methods respectively. Finally, the Monte-Carlo simulation results show the effectiveness of the proposed algorithm.
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