基于空时频输出矩阵的盲波束形成算法  

The Blind Beamforming Algorithm Based on Space-Time-Frequency Output Matrix

作　　者：刘骐玮 马彦恒 李根 董健 LIU Qiwei;MA Yanheng;LI Gen;DONG Jian(Shijiazhuang Campus of Army Engineering University,Shijiazhuang 050003,China)

机构地区：[1]陆军工程大学石家庄校区,河北石家庄050003

出　　处：《雷达科学与技术》2019年第1期44-48,共5页Radar Science and Technology

基　　金：国防预研基金(No.9140A19031015JB34001)

摘　　要：针对现有的卷积盲源分离方法(如时频分析方法)在宽带信号的分析中计算量较大的问题,提出一种在分数阶傅里叶域滤波基础上的盲波束形成算法。算法首先对接收到的信号作分数阶傅里叶域的峰值滤波,然后计算空时频输出矩阵,最后提出一种信号来向未知的空间盲波束形成算法。该算法充分利用线性调频信号在分数阶傅里叶域能量聚集的特性提高输出信噪比,并减少了运算量。仿真结果表明,算法能够实现宽带信号的盲源分离,且输出性能较之时频方法有一定提高。The existing convolutional blind source separation methods,such as the time-frequency analysis method,have large computational complexity in the analysis of wideband signals.For this problem,a blind 2 beamforming algorithm based on fractional Fourier transform's(FRFT)domain filter is proposed.This algorithm firstly completes peak filter in the fractional Fourier transforms'domain for the received signal and then calculates the space-timefrequency output matrix.Finally,a spatial blind beamforming algorithm with unknown direction of arrival(DOA)of signal is proposed.This algorithm utilizes adequately the characteristics of the chirp signal's accumulation in the fractional Fourier transforms'domain to improve the output signal to noise ratio and reduce the amount of operation.The simulation shows that this algorithm can accomplish the blind source separation for chirp signals,while the outputs'performance is better than that of the time-frequency method.

关 键 词：分数阶傅里叶域滤波 估计导向矢量 空时频输出矩阵 盲波束形成 

分 类 号：TN911.7[电子电信—通信与信息系统]