脉冲噪声下自适应文化算法的传播器测向方法

M. Diao, Hongyuan Gao, Xiukun Yang
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引用次数: 0

摘要

在脉冲噪声存在的情况下,利用最小冗余阵列的协变矩阵构造了虚拟多元均匀线性阵列。基于虚拟多元均匀线性阵列和重构协变矩阵,提出了一种新的正交传播子方法。该算法利用较少的虚拟元素,扩大了有效孔径阵列的数量,显著提高了原有OPM算法的性能。为了适应提出的基于最小冗余阵列和协变矩阵的测向算法,设计了一种针对测向目标函数的自适应文化算法。蒙特卡罗仿真结果表明,该方法具有在脉冲噪声存在下具有较高的分辨率,并且能够使用较少的单元找到更多的信号源。
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Direction finding of propagator method using adaptive cultural algorithm in the impulsive noise
A virtual multi-element uniform linear array is constructed through covariation matrix of the minimum redundant array in the presence of impulsive noise. Based on virtual multi-element uniform linear array and reconstructed covariation matrix, a novel orthogonal propagator method (OPM) is proposed. The proposed algorithm utilized few virtual elements and expanded the number of effective aperture array, while significantly improving the performance of the original OPM algorithms. In order to fit the proposed direction finding algorithm based on the minimum redundant array and covariation matrix, an adaptive cultural algorithm is designed for objective function of direction finding. Monte-Carlo simulations have proved that the proposed method has some good performance such as high resolution in the presence of impulse noise and the capability of using a small number of elements to find more signal sources.
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