最小冗余线阵的ES-DOA估计算法研究  

Study on ES-DOA Estimation Algorithm of Minimum-Redundancy Linear Arrays

作　　者：崔波[1] 罗景青[1] 

机构地区：[1]解放军电子工程学院,合肥230037

出　　处：《信号处理》2010年第7期1016-1020,共5页Journal of Signal Processing

摘　　要：采用最小冗余线阵可以显著增大天线的阵列孔径,但其相关矩阵不是Toeplitz矩阵,致使空间平滑解相干等方法失效,限制其在相干信号环境下的使用。结合信号功率估计,采用基于特征空间DOA估计算法,使得在较低信噪比情况下的DOA估计具有很高的精度。该算法同时采用了前后向空间平滑技术,不用减小阵列孔径就可以实现信号去相干。将该算法应用于最小冗余线阵,提高了阵列的DOA估计性能,且不影响阵列孔径。仿真结果证实了该算法的具有较高的精度和较强的鲁棒性。Arrays aperture can be improved greatly with minimum-redundancy linear arrays（MRLA）. But MRLA’s covariance matrix is not a Toeplitz matrix,which makes spatial smoothing decorrelation method and etc futile to constrain MRLA’s applications in correlated circumstances. Eigenspace-DOA （ES-DOA） algorithm,uniting the estimation of signals’ powers,can produce high resolutions of DOA estimation with a lower SNR. ES-DOA algorithm,utilizing forward-back technique meanwhile,does no harm to arrays’ aperture. ES-DOA algorithm in MRLA has improved MRLA’s DOA estimation capability without impairing its aperture. Simulation results have also shown its high precision and robustness.

关 键 词：最小冗余线阵 特征空间 DOA估计 

分 类 号：TN911[电子电信—通信与信息系统]