摘要
针对现有的基于压缩感知理论的测向方法,其阵元利用率较低且对信噪比要求较高,基于压缩感知理论,提出了一种信号子空间测量模型,并将其用于独立信号与相干信号同时存在的情况,实现了任意阵列测向,有效扩展了阵列孔径并提高了低信噪比时的估计性能.该方法首先对独立信号的入射角度进行估计并消除相干信号的干扰;然后利用斜轴投影技术获得只含相干信号信息的数据矩阵,进而估计出相干信号的波达方向.理论分析和实验仿真结果表明,所提方法具有计算简便、阵列利用率高以及低信噪比时估计性能好等优点.
The present direction finding methods based on the compressive sensing theory require a high signal to noise ratio(SNR) and have been found to have low array element utilization.A signal subspace measurement model,based on the compressive sensing theory,was proposed and applied in the uncorrelated and coherent signals coexisting circumstances,in efforts to achieve direction finding of arbitrary array,which expands array aperture effectively and improves the estimation performance at low SNR.For this proposed method,the incident angle of uncorrelated signal was estimated first,and next the influence of the coherent signals was eliminated.After that the data covariance matrix of the coherent signals was estimated by utilizing the oblique projection method,thus,the DOA of coherent signals was then estimated.Theoretical analysis and simulation results illustrate that the proposed method has a small computational load,high array element utilization and an excellent estimation performance at low SNR.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2013年第4期517-523,共7页
Journal of Harbin Engineering University
基金
国家自然科学基金资助项目(61102106)
中央高校基本科研业务费专项基金资助项目(HEUCF1208
HEUCF100801)
关键词
测向
任意阵列
压缩感知
斜轴投影
uncorrelated signal
coherent signal
direction finding
arbitrary array
compressive sensing
oblique projection
