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最小冗余线阵的ES-DOA估计算法研究 被引量：6

Study on ES-DOA Estimation Algorithm of Minimum-Redundancy Linear Arrays
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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.
作者 崔波 罗景青
机构地区 解放军电子工程学院
出处 《信号处理》 CSCD 北大核心 2010年第7期1016-1020,共5页 Journal of Signal Processing
关键词 最小冗余线阵 特征空间 DOA估计 MRLA Eigenspace DOA Estimation
分类号 TN911 [电子电信—通信与信息系统]
  • 相关文献

参考文献9

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共引文献19

同被引文献52

  • 1张西托,饶伟,胡冬梅,刘强.基于非均匀线阵和修正MUSIC算法的DOA估计[J].火力与指挥控制,2009,34(S1):35-36. 被引量：4
  • 2邵丽君,赵淑清.一种优化非均匀阵列天线测向性能的方法[J].电讯技术,2005,45(2):116-119. 被引量：4
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引证文献6

二级引证文献13

信号处理
2010年 第7期

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