一种基于阵列旋转的消杂谱峰新方法

Rentao Wang, Xulong Chen, Bin Li, Ke Ma, Jian Gao
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引用次数: 1

摘要

在使用基于均匀线阵的多信号分类测向算法时,当单元间距与波长之比大于0.5时,可能会由于谱峰杂散的出现而干扰真实到达方向的估计。现有的消杂谱峰方法主要适用于有源测向和非均匀阵列。然而,在实际应用中,无源测向和均匀阵是首选。针对这一问题,通过分析产生杂散光谱峰的原因,提出了一种利用机械旋转(阵列旋转法)消除杂散光谱峰的新方法。仿真结果表明了该方法的有效性。该方法易于实现,应用广泛,能够满足实际工程设计要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new method of eliminating spurious spectral peak based on array rotation
When suing the multiple signal classification (MUSIC) direction finding algorithm based on uniform linear array, the estimation of the real arrival direction may be interfered due to the occurrence of the spurious spectral peak if the ratio of the element spacing to wavelength is more than 0.5. The available methods of eliminating spurious spectral peak are mainly suitable for active direction finding and non-uniform array. However, passive direction finding and uniform array are preferred in practical application. Aiming at this issue, by analyzing the causes of spurious spectral peaks, a novel method using mechanical rotating (array rotating method) to eliminate spurious spectral peaks is proposed in this paper. And the effectiveness is shown by simulation results. The new method can be easily implemented and widely applied, and can meet real engineering design requirements.
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