Artificial Intelligence applications in Noise Radar Technology

被引：0

作者：

Senica, Afonso L. ^{[1
,2
]}

Marques, Paulo A. C. ^{[3
]}

Figueiredo, Mario A. T. ^{[4
]}

机构：

[1] Inst Super Tecn, Inst Telecomunicacoes, Lisbon, Portugal

[2] Marinha Portuguesa, Lisbon, Portugal

[3] ISEL, Inst Telecomunicacoes, Lisbon, Portugal

[4] Inst Super Tecn, Inst Telecomunicacoes, Lisbon, Portugal

来源：

IET RADAR SONAR AND NAVIGATION | 2024年 / 18卷 / 07期

关键词：

artificial intelligence; noise; radar signal processing; radar target recognition; SEA CLUTTER SUPPRESSION; LEARNING-BASED APPROACH; WAVE-FORM RECOGNITION; TARGET RECOGNITION; MIMO RADAR; SAR TARGET; CLASSIFICATION; DESIGN; CNN;

D O I：

10.1049/rsn2.12503

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：986 / 1001

页数：16

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