高效的多跳频信号2D-DOA估计算法  

Efficient 2D-DOA estimation algorithm for multi-FH signals

作　　者：于欣永[1,2] 郭英 张坤峰[1] 眭萍 李雷[1] 李红光 孟涛[1] YU Xinyong 1,3 , GUO Ying 1,2 , ZHANG Kunfeng 1, SUI Ping 1, LI Lei 1, LI Hongguang 1, MENG Tao 1(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; 3. Air Force Communication NCO Academy, Dalian 116100, Chin)

机构地区：[1]空军工程大学信息与导航学院,陕西西安710077 [2]空军通信士官学校,辽宁大连116100 [3]通信网信息传输与分发技术重点实验室,河北石家庄050081

出　　处：《系统工程与电子技术》2018年第6期1363-1370,共8页Systems Engineering and Electronics

基　　金：国家自然科学基金(61601500)资助课题

摘　　要：为了利用跳频信号的空域特征参数辅助多跳频信号的网台分选,在空时频分析的基础上,提出一种基于多重信号分类(multiple signal classification,MUSIC)对称压缩谱(MUSIC symmetrical compressed spectrum,MSCS)的多跳频信号二维波达方向(two dimensional direction of arrival,2D-DOA)高效估计算法。首先根据跳频信号的时频域特征,构建每一跳的空时频矩阵(spatial time-frequency distribution,STFD),获取时频域的协方差矩阵;然后将共轭子空间的思想引入到MUSIC算法中,通过对噪声子空间及其共轭的交集进行奇异值分解,实现噪声子空间的降维;最终通过半谱搜索实现2D-DOA的高效估计。同时为了提高低信噪比条件下算法的性能,在时频图处理过程中采用形态学滤波进行去噪,并在修正的时频图上完成了跳频信号每一跳的提取。通过理论论证和实验仿真表明,本文算法相比于MUSIC算法,在保证均方根误差相当和估计成功率有所提高的情况下,计算复杂度降低了一半。In order to sort frequency-hopping（FH）networks efficiently using frequency domain feature parameters,a two dimensional direction of arrival（2 D-DOA）estimation algorithm based on the multiple signal classification（MUSIC）symmetrical compressed spectrum is proposed by using the space-time frequency analyzing method.Firstly,the spatial time-frequency matrix of each hop is constructed by using the time-frequency domain features of FH signals,and the covariance matrix of time-frequency domain is obtained consequently.Then the idea of conjugate subspace is introduced into the traditional MUSIC algorithm,and the dimension of the noise subspace is descended by the singular value decomposition on the intersection of noise subspace and its conjugate one.Finally efficient DOA estimation is realized through half-spectrum searching.At the same time,the time-frequency map is amended via the morphological filtering method in order to enhance the performance of the low SNR algorithm.Efficient extraction of hop will be implemented on amended maps.Theoretical analysis and simulation results show that the proposed algorithm can reduce the computational complexity of the traditional MUSIC algorithm by 50% while the RMSE is equivalent to it and the estimated success rate is higher than it.

关 键 词：跳频信号 二维波达方向 网台分选 半谱搜索 形态学滤波 

分 类 号：TN911.7[电子电信—通信与信息系统]