多跳频信号的2D-DOA估计

为了利用跳频信号的二维波达方向（2D-DOA）辅助同步跳频信号的网台分选和信号识别、跟踪，提出一种基于酉ESPRIT算法的多跳频信号2D-DOA估计方法。首先利用形态学滤波的方法对跳频信号的时频图进行修正，并在修正的时频图上完成有效跳的提取；然后基于平面天线阵列结构，建立有效跳的阵列快拍数据模型；在此基础上，采用酉ESPRIT算法进行跳频信号的2D-DOA联合估计。该方法将接收数据从复数域转化到实数域处理，降低了运算复杂度；同时构造实矩阵时，复用了接收数据，提高了估计精度。仿真结果表明，该算法具有良好的估计性能。 

2D-DOA Estimation of Multiple Frequency-Hopping Signals

In order to use the two-dimensional direction-of-arrival(2D-DOA) of the frequency hopping(FH) signals for FH signals sorting, identifying and tracking, an FH signal 2D-DOA estimation algorithm based on Unitary ESPRIT is proposed in this paper. Firstly, the time-frequency map of FH signals is amended via morphological filtering to extract the effective hop of FH signals. Then, the data model of array for effective hop is established based on the structure of the planar antenna array. Finally, the Unitary ESPRIT is exploited to estimate the 2D-DOA of FH signals. This method transforms the received data from the complex field to the real domain by the unitary transformation to decrease the calculation complexity and reuses the data during constructing the real matrix to improve the accuracy of the estimation. The simulation results show that the proposed algorithm has good performance.