传统雷达系统的发射机与接收机采用开环工作模式, 在动态复杂环境下探测目标时缺乏灵活性和
稳健性. 借鉴生物认知学习过程, 认知雷达可以感知动态环境和目标信息, 通过发射和接收端闭环 …

In recent years, plastic optical fiber (POF) has been considered as a promising cost-effective
scheme for short-distance data communications, multimedia communication in cars, and in …

In this paper the problem of recognizing waveform and modulation is addressed in radar-
communications coexistence and shared spectrum scenarios. We propose a deep learning …

In this paper, we examine the use of a deep multi-layer perceptron architecture to classify
received signals as one of seven common waveforms, single carrier (SC), single-carrier …

The integration of radar and communication systems in 6G networks has led to a significant
challenge of spectrum congestion. To address this issue, we propose a deep learning …

Techniques for automatic modulation classification (AMC) of radar signals are crucial for
spectrum sensing, passive bistatic radars, and electronic intelligence (ELINT). Most of the …

The seventh event of the International Conference on Machine Learning and Data Mining
(MLDM) was held in New York (www. mldm. de) running under the umbrella of the world …

To overcome the spectrum congestion problem in next-generation wireless networks, an
integrated radar-communication system with spectrum sharing becomes a promising …

Although many studies have been conducted for the recognition of low probability of
intercept (LPI) radar waveforms, only a few consider fading channels because the …

In this paper, we examine the use of a deep multi-layer perceptron model architecture to
classify received signal samples as coming from one of four common waveforms, Single …