基于LabVIEW的高阶统计量分析复杂环境下运动目标非实时谐波信号

IF 0.4 4区 物理与天体物理 Q4 PHYSICS, MULTIDISCIPLINARY Journal of Contemporary Physics (Armenian Academy of Sciences) Pub Date : 2025-03-16 DOI:10.1134/S1068337225700124
A. Hakhoumian, M. Barseghyan, N. Gasparyan, B. Hovhannisyan, E. Sivolenko
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引用次数: 0

摘要

提出了一种利用双谱分析检测运动目标的新方法。倒谱法用于改进谐波频率的检测。该方法包括读取一个文件,并使用一种算法在双谱中找到所需的谐波,从而降低噪声。这种有针对性的方法有助于跟踪和理解移动目标。该方法已在仿真中进行了测试,发现与传统的双谱分析方法相比,该方法显著提高了目标检测和频率分辨率。这种新方法有助于更准确有效地跟踪移动目标,特别是在精确跟踪至关重要的雷达和声纳系统中。
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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Analysis of Harmonic Signals in Non-Real Time of Moving Targets in Complex Environments Using Higher-Order Statistics in LabVIEW

A new method of using bispectral analysis for detecting moving targets is presented. The cepstrum method is used to improve the detection of harmonic frequencies. The method involves reading a file and using an algorithm that finds the desired harmonics in the bispectrum, reducing noise. This targeted approach facilitates tracking and understanding moving targets. The method has been tested in simulations and found to significantly improve target detection and frequency resolution compared to traditional methods of bispectral analysis. This new methodology helps to track moving targets more accurately and efficiently, especially in radar and sonar systems where precise tracking is crucial.

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来源期刊
CiteScore
1.00
自引率
66.70%
发文量
43
审稿时长
6-12 weeks
期刊介绍: Journal of Contemporary Physics (Armenian Academy of Sciences) is a journal that covers all fields of modern physics. It publishes significant contributions in such areas of theoretical and applied science as interaction of elementary particles at superhigh energies, elementary particle physics, charged particle interactions with matter, physics of semiconductors and semiconductor devices, physics of condensed matter, radiophysics and radioelectronics, optics and quantum electronics, quantum size effects, nanophysics, sensorics, and superconductivity.
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