高斯噪声背景下多用户波达方向估计与互耦自校正

发布时间：2019-07-16 17:27

【摘要】：在高斯噪声背景下,针对互耦条件下的均匀线阵(Uniform Linear Array,ULA),该文提出了一种联合多用户波达方向(Direction Of Arrival,DOA)估计与互耦误差自校正算法。该算法首先利用特征矩阵联合相似对角化(Joint Approximative Diagonalization of Eigen matrix,JADE)方法估计出各用户广义空间特征矢量,然后定义了一个将各用户广义空间特征矢量转换为只与部分阵元相关的转换矩阵,进而在斜投影及前后向空间平滑的基础上,实现了多用户相干信源DOA估计,最后以多用户相干信源DOA及广义空间特征矢量估计值为基础,给出一种互耦自校正方法。仿真结果表明:该算法具有较高的DOA估计精度及DOA估计成功率,而且对高斯白噪声/色噪声背景,阵列互耦误差已知/未知情形,均具有普适性。
[Abstract]:In this paper, a joint multiuser direction of arrival (Direction Of Arrival,DOA) estimation and mutual coupling error self-tuning algorithm is proposed for uniform linear (Uniform Linear Array,ULA under the condition of mutual coupling under the background of Gaussian noise. In this algorithm, the generalized spatial feature vector of each user is estimated by using the joint similarity diagonalization (Joint Approximative Diagonalization of Eigen matrix,JADE method of feature matrix, and then a transformation matrix is defined to transform the generalized spatial feature vector of each user into a transformation matrix which is only related to part of the matrix element, and then the DOA estimation of multi-user coherent source is realized on the basis of oblique projection and forward and backward spatial smoothing. Finally, based on the multi-user coherent source DOA and the generalized spatial eigenvector estimation, a mutual coupling self-tuning method is proposed. The simulation results show that the algorithm has high DOA estimation accuracy and DOA estimation success rate, and has universality for Gaussian white noise / color noise background and array mutual coupling error known / unknown.
【作者单位】：重庆邮电大学通信与信息工程学院;移动通信技术重庆市重点实验室;
【基金】：国家科技重大专项(2013ZX03003008-005) 重庆市自然科学基金(CSTC,2010BB2417,2013JJB40001)资助课题
【分类号】：TN911.7

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