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为了利用跳频(FH)信号的空域特征参数进行网台分选,提出一种基于空间极化时频分布(SPTFD)的FH信号二维波达方向(2D-DOA)和极化参数联合估计算法.首先定义新的波达方向角并建立FH信号的极化敏感阵列快拍数据模型;然后采用组合时频分布抑制FH交叉项,设计阵元时频点选取策略,并据此构造各跳信号的SPTFD矩阵.在此基础上,根据旋转不变子空间思想估计俯仰角,利用秩损理论结合多项式求根估计方位角和极化参数,最终实现了2D-DOA与极化参数的联合估计.该方法可适用于欠定条件,且无须角度搜索和配对,估计精度高,仿真结果验证了算法的有效性.
In order to utilize the spatial domain parameters of frequency hopping (FH) signals to classify networks, a joint estimation of 2D DOA and polarization parameters of FH signals based on Spatially Polarized Time-Frequency Distribution (SPTFD) Firstly, a new DOA angle is defined and a polarization-sensitive array snapshot data model of FH signal is established. Then, the combinational time-frequency distribution is used to suppress the FH cross terms and the timing and frequency selection strategy of the array element is designed. Signal.At the same time, based on the rotation-invariant subspace idea to estimate the pitch angle, the azimuth and polarization parameters are estimated by using the rank-loss theory combined with the polynomial. Finally, the joint estimation of 2D-DOA and polarization parameters is finally achieved The method can be applied to underdetermined conditions, and does not require angle search and matching, the estimation accuracy is high, and the simulation results verify the effectiveness of the algorithm.