Výsledky vyhledávání - "Feng, HanCong"

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Deep multi-intentional inverse reinforcement learning for cognitive multi-function radar inverse cognition

Autor: Feng, Hancong, Jiang, KaiLI, tang, Bin

In recent years, radar systems have advanced significantly, offering environmental adaptation and multi-task capabilities. These developments pose new challenges for electronic intelligence (Elint) and electronic support measures (ESM), which need to

Externí odkaz: http://arxiv.org/abs/2408.08478

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A Fast Power Spectrum Sensing Solution for Generalized Coprime Sampling

Autor: Jiang, Kaili, Wang, Dechang, Tian, Kailun, Feng, Hancong, Zhao, Yuxin, Yuan, Junyu, Tang, Bin

The growing scarcity of spectrum resources, wideband spectrum sensing is required to process a prohibitive volume of data at a high sampling rate. For some applications, spectrum estimation only requires second-order statistics. In this case, a fast

Externí odkaz: http://arxiv.org/abs/2311.13787

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Wideband Spectrum Acquisition for UAV Swarm Using the Sparse Coding Fourier Transform

Autor: Jiang, Kaili, Tian, Kailun, Feng, Hancong, Yuan, Junyu, Tang, Bin

As the trend towards small, safe, smart, speedy and swarm development grows, unmanned aerial vehicles (UAVs) are becoming increasingly popular for a wide range of applications. In this letter, the challenge of wideband spectrum acquisition for the UA

Externí odkaz: http://arxiv.org/abs/2308.07079

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Distributed UAV Swarm Augmented Wideband Spectrum Sensing Using Nyquist Folding Receiver

Autor: Jiang, Kaili, Tian, Kailun, Feng, Hancong, Zhao, Yuxin, Wang, Dechang, Cao, Sen, Gao, Jian, Zhang, Xuying, Li, Yanfei, Yuan, Junyu, Xiong, Ying, Tang, Bin

Distributed unmanned aerial vehicle (UAV) swarms are formed by multiple UAVs with increased portability, higher levels of sensing capabilities, and more powerful autonomy. These features make them attractive for many recent applica-tions, potentially

Externí odkaz: http://arxiv.org/abs/2308.07077

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Wideband Power Spectrum Sensing: a Fast Practical Solution for Nyquist Folding Receiver

Autor: Jiang, Kaili, Wang, Dechang, Tian, Kailun, Feng, Hancong, Zhao, Yuxin, Cao, Sen, Gao, Jian, Zhang, Xuying, Li, Yanfei, Yuan, Junyu, Xiong, Ying, Tang, Bin

The limited availability of spectrum resources has been growing into a critical problem in wireless communications, remote sensing, and electronic surveillance, etc. To address the high-speed sampling bottleneck of wideband spectrum sensing, a fast a

Externí odkaz: http://arxiv.org/abs/2308.07075

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Contrastive Psudo-supervised Classification for Intra-Pulse Modulation of Radar Emitter Signals Using data augmentation

Autor: Feng, HanCong, Yan, XinHai, Jiang, KaiLi, Zhao, XinYu, Tang, Bin

The automatic classification of radar waveform is a fundamental technique in electronic countermeasures (ECM).Recent supervised deep learning-based methods have achieved great success in a such classification task.However, those methods require enoug

Externí odkaz: http://arxiv.org/abs/2210.06973

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