多跳频信号2D-DOA与极化参数的联合估计

Joint estimation of 2D-DOA and polarization estimation for multiple frequency hopping signals

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 sort frequency hopping network with spatial feature parameters of frequency hopping （FH） signals ,a joint estimation algorithm based on spatial polarimetric time‐frequency distri‐bution （SPTFD） was proposed as a solution for the two dimensional direction of arrival （2D‐DOA） and polarization estimation of FH signals .First ,a new type of direction angles was defined and the snapshot data model for polarization sensitive array of FH signals was built .Then ,a combined time‐frequency distribution method was presented to suppress the cross term of FH signals ,a strategy for choosing the sensor auto term region was designed ,consequently ,and the SPTFD matrix for each hop was generated .On this basis ,the elevation angle was estimated with the rotational invariance sub‐space theory ,and combining with the polynomial root method ,the rank reduction theory was used to estimate the azimuth and polarization .Eventually ,the joint 2D‐DOA and polarization estimation of FH signals was completed .This novel method is suitable for the underdetermined condition ,and has splendid estimate precision without multi parameters optimization or pair‐matching .Monte‐Carlo sim‐ulation results verified the effectiveness of the proposed algorithm .