Artificial Intelligence applications in Noise Radar Technology

IF 1.4 4区管理学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Iet Radar Sonar and Navigation Pub Date : 2024-06-28 DOI:10.1049/rsn2.12503

Afonso L. Sénica, Paulo A. C. Marques, Mário A. T. Figueiredo

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Abstract

Radar systems are a topic of great interest, especially due to their extensive range of applications and ability to operate in all weather conditions. Modern radars have high requirements such as its resolution, accuracy and robustness, depending on the application. Noise Radar Technology (NRT) has the upper hand when compared to conventional radar technology in several characteristics. Its robustness to jamming, low Mutual Interference and low probability of intercept are good examples of these advantages. However, its signal processing is more complex than that associated to a conventional radar. Artificial Intelligence (AI)-based signal processing is getting increasing attention from the research community. However, there is yet not much research on these methods for noise radar signal processing. The aim of the authors is to provide general information regarding the research performed on radar systems using AI and draw conclusions about the future of AI in noise radar. The authors introduce the use of AI-based algorithms for NRT and provide results for its use.

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噪声雷达技术中的人工智能应用

雷达系统是一个备受关注的话题，特别是由于其应用范围广泛，能够在各种天气条件下运行。根据不同的应用，现代雷达对分辨率、精确度和坚固性都有很高的要求。与传统雷达技术相比，噪声雷达技术（NRT）在以下几个方面具有优势。其抗干扰能力强、相互干扰小和拦截概率低就是这些优势的很好例子。然而，它的信号处理比传统雷达更为复杂。基于人工智能（AI）的信号处理越来越受到研究界的关注。然而，有关这些噪声雷达信号处理方法的研究还不多。作者的目的是提供有关使用人工智能的雷达系统研究的一般信息，并就人工智能在噪声雷达中的应用前景得出结论。作者介绍了基于人工智能的算法在近程雷达中的应用，并提供了使用结果。

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来源期刊

Iet Radar Sonar and Navigation 工程技术-电信学

CiteScore

4.10

自引率

11.80%

发文量

137

审稿时长

3.4 months

期刊介绍： IET Radar, Sonar & Navigation covers the theory and practice of systems and signals for radar, sonar, radiolocation, navigation, and surveillance purposes, in aerospace and terrestrial applications. Examples include advances in waveform design, clutter and detection, electronic warfare, adaptive array and superresolution methods, tracking algorithms, synthetic aperture, and target recognition techniques.