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作 者:单泽彪[1,2,3] 王宇祥 常立民 刘小松 Shan Zebiao;Wang Yuxiang;Chang Limin;Liu Xiaosong(School of Electronic and Information Engineering,Changchun University of Science and Technology,Changchun 130022,China;College of Communication Engineering,Jilin University,Changchun 130022,China;Changchun Meteorological Instrument Research Institute,Changchun 130102,China)
机构地区:[1]长春理工大学电子信息工程学院,长春130022 [2]吉林大学通信工程学院,长春130022 [3]长春气象仪器研究所,长春130102
出 处:《电子测量技术》2022年第15期166-171,共6页Electronic Measurement Technology
基 金:国家自然科学基金(61571462);吉林省教育厅科学技术项目(JJKH20190590KJ,JJKH20190591KJ);长春理工大学青年科学基金(XQNJJ-2017-12)项目资助。
摘 要:针对冲击噪声背景下相干信号源的波达方向估计问题,提出了一种基于分数低阶矩的修正MUSIC算法。首先根据阵列接收数据,计算出分数低阶矩矩阵,从而抑制冲击噪声对阵列接收数据的影响;然后采用修正MUSIC算法基本原理,通过对矩阵的共轭重排,解决因相干信号的存在而导致的阵列协方差矩阵秩的亏损问题,并提高了算法的估计性能。通过对所提方法进行仿真实验验证以及相关理论性分析得知:所提算法能够有效抑制冲击噪声的影响,同时可对相干信号进行解相干处理,并且与分数低阶奇异值分解算法及数据预处理后进行重构的自适应方法相比具有更高的估计精度和估计成功概率。A modified MUSIC algorithm based on fractional low order moments is proposed to estimate the direction of arrival of coherent signal sources in the background of impulse noise. Firstly, the fractional low-order moment matrix is calculated according to the received data of the array, so as to suppress the impact of the impact noise on the received data of the array. Then, the basic principle of modified MUSIC algorithm is adopted to solve the rank loss of array covariance matrix caused by the existence of coherent signals by conjugate rearrangement of matrices, and the estimation performance of the algorithm is improved. The effectiveness of the proposed method is verified by computer simulation experiments. Experimental results show that: The proposed algorithm can effectively suppress the impact of the impact noise and de-coherently process the coherent signal, and has higher estimation accuracy and probability of success than the fractional low-order singular value decomposition algorithm and the adaptive reconstruction method after data preprocessing.
关 键 词:波达方向估计 相干信号 冲击噪声 多传感器信号处理
分 类 号:TN911[电子电信—通信与信息系统]
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