Robust antenna array processing using M-estimators of pseudo-covariance
Robust antenna array processing using M-estimators of pseudo-covariance
复制标题
使用伪协方差 M 估计器进行鲁棒天线阵列处理
DOI：
10.1109/pimrc.2003.1259213
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
V. Koivunen
中科院分区：
文献类型：
--
作者：
E. Ollila;V. Koivunen
本文研究了非高斯噪声和干扰条件下天线阵列的处理问题。这种情况是由于室内和室外移动通信信道以及军事通信中的人为干扰而产生的。本文介绍了基于复数据集的阵列（伪）协方差矩阵的m估计。然后使用基于m估计量的噪声和信号子空间估计来增强子空间到达方向（DOA）估计方法的鲁棒性。此外，在MDL准则中使用基于m估计量的特征值，从而产生一种鲁棒的信号检测方法。仿真结果表明了所提方法的可靠性。
This paper addresses the problem of antenna array processing in nonGaussian noise and interference conditions. Such conditions arise due to man-made interference in indoor and outdoor mobile communication channels as well as in military communications. In this paper M-estimators of the array (pseudo-)covariance matrix based upon complex data set are introduced. Estimates of the noise and signal subspaces based on M-estimators are then used to robustify the subspace direction of arrival (DOA) estimation methods. In addition, eigenvalues based on M-estimators are used in MDL criterion, thus yielding a robust signal detection method. The reliable performance of the proposed methods are shown by simulations.