Joint ML-Bayesian Approach to Adaptive Radar Detection in the presence of Gaussian Interference

IF 5.1 2区计算机科学 Q1 ENGINEERING, AEROSPACE IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2024-11-07 DOI:10.1109/taes.2024.3493063

Chaoran Yin, Tianqi Wang, Linjie Yan, Chengpeng Hao, Alfonso Farina, Danilo Orlando

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存在高斯干扰时的自适应雷达探测联合 ML-Bayesian 方法

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来源期刊

IEEE Transactions on Aerospace and Electronic Systems 工程技术-电信学

CiteScore

7.80

自引率

13.60%

发文量

433

审稿时长

8.7 months

期刊介绍： IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.

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