基于酉ESPRIT的跳频信号DOA估计

为了利用跳频信号的空域信息辅助同步跳频信号的网台分选,提出了一种基于STFD酉ESPRIT的跳频信号DOA估计算法。首先用WVDSPWVD组合时频分析方法对接收数据进行时频变换,然后提取出跳频信号的有效跳(hop),并对其建立空时频矩阵(STFD),最后利用酉ESPRIT算法进行跳频信号DOA估计。该方法通过酉变换将ESPRIT算法的协方差矩阵从复数域转化到实数域,降低了计算量,而且酉ESPRIT算法利用了数据的共轭信息使数据长度等价增加了一倍,提高了估计精度。仿真结果表明文中算法在信噪比大于2dB时,DOA估计性能优于ESPRIT算法。

DOA Estimation of Frequency Hopping Signal Based on Unitary ESPRIT

In order to utilize spatial feature information for network sorting of the synchronous frequency hopping signal, this paper proposes a FH signal DOA estimation algorithm based on STFD and unitary ESPRI. Firstly, the paper exchanges the received data for time frequency by the WVD and SPWVD combined time frequency analysis method. Then the effective hop of the frequency hopping signals is extracted and the space time frequency matrix (STFD) is established. Finally, the frequency hopping signal DOA is estimated by using the unitary ESPRIT algorithm. This method transforms the covariance matrix from the complex field to the real domain by the unitary transformation to reduce the computational complexity and uses the conjugate information of the data to double the data length to improve the accuracy of the estimate. The simulation results show that the DOA estimation performance of this algorithm is prior to that of ESPRIT when SNR is higher than 2 dB.