Bounded non-linear covariance based ESPRIT method for noncircular signals in presence of impulsive noise
Bounded non-linear covariance based ESPRIT method for noncircular signals in presence of impulsive noise
复制标题
基于有界非线性协方差的 ESPRIT 方法，用于存在脉冲噪声的非圆形信号
DOI：
10.1016/j.dsp.2019.01.018
复制
发表时间：
2019-04-01
影响因子：
2.9
通讯作者：
Li, Houjie
中科院分区：
文献类型：
--
作者：
Zhang, Jiacheng;Qiu, Tianshuang;Li, Houjie
在DOA估计的研究中，类esprit方法受到了广泛的关注，并在实际应用中得到了广泛的应用。尽管许多最新的方法考虑了各种性能要求，但对脉冲噪声的鲁棒性仍有待进一步研究。在有界非线性协方差（BNC）思想的启发下，提出了一种新的基于子空间的DOA估计方法。该方法采用NC-BNC- esprit方法，利用BNC矩阵建立扩展阵列输出的信号子空间，可以处理存在脉冲噪声的非圆（NC）信号的DOA估计。仿真实验和理论分析验证了该方法相对于现有方法的优越性，并在附录中证明了该方法的鲁棒性。(C) 2019 Elsevier Inc.版权所有。
Among the most important approaches in the study of DOA estimation, ESPRIT-like methods have received considerable attentions and have been widely applied in practical applications. Although many of the latest approaches have considered various performance requirements, the robustness to impulsive noise warrants further investigation. Inspired by the idea of bounded non-linear covariance (BNC), a novel subspace based method for DOA estimation is proposed in this paper. Named NC-BNC-ESPRIT, this method uses the BNC matrix to create a signal subspace of extended array outputs and it can handle the DOA estimation for noncircular (NC) signals in presence of impulsive noise. Simulation experiments and theoretical analysis are provided to verify this methods' superiority over existing approaches and proof of its robustness is provided in the appendix. (C) 2019 Elsevier Inc. All rights reserved.