A CLEAN-Based Synthetic Aperture Passive Localization Algorithm for Multiple Signal Sources

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2022-10-20 DOI:10.1109/JMASS.2022.3215982

Yuqi Wang;Wenlong Dong;Guang-Cai Sun;Zijing Zhang;Mengdao Xing;Xiaoniu Yang

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引用次数: 3

Abstract

In passive localization, the received signal may come from multiple signal sources with different modulations. The modulations are usually resolved by high-order spectrum (HOS) processing. However, the processing causes multiple intersignal cross terms, resulting in a degradation of localization performance. To resolve the problem, this article proposes a CLEAN-based synthetic aperture passive positioning algorithm for multiple signal sources. The main idea is to locate the same modulated signal by focusing and then filtering out the located signal. Signals with the same modulation are located through the synthetic aperture passive localization method. Then, the located signals are removed and the remaining signals are recovered through inverse focusing. The multiple signals are focused, extracted, and separated according to the modulation. The effect of cross terms and multiplicative noise in the HOS is dramatically reduced. The simulation experiments show that the proposed algorithm can effectively improve localization accuracy.

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基于clean的多信号源合成孔径无源定位算法

在被动定位中，接收到的信号可能来自多个不同调制方式的信号源。这些调制通常通过高阶频谱(HOS)处理来解决。然而，该处理会导致多个信号间交叉项，导致定位性能下降。为了解决这一问题，本文提出了一种基于clean的多信号源合成孔径无源定位算法。其主要思想是通过聚焦然后滤除定位信号来定位相同的调制信号。采用合成孔径无源定位方法对具有相同调制的信号进行定位。然后，将定位信号去除，并通过反向聚焦恢复剩余信号。根据调制方式对多个信号进行聚焦、提取和分离。交叉项和乘性噪声对居屋系统的影响显著降低。仿真实验表明，该算法能有效提高定位精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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