Literatura académica sobre el tema "Dual-Functional Radar Communication"

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Artículos de revistas sobre el tema "Dual-Functional Radar Communication"

1

Liu, Fan, Longfei Zhou, Christos Masouros, Ang Li, Wu Luo, and Athina Petropulu. "Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design." IEEE Transactions on Signal Processing 66, no. 16 (2018): 4264–79. http://dx.doi.org/10.1109/tsp.2018.2847648.

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Zhang, Zhibo, Qing Chang, Fan Liu, and Shengzhi Yang. "Dual-Functional Radar-Communication Waveform Design: Interference Reduction Versus Exploitation." IEEE Communications Letters 26, no. 1 (2022): 148–52. http://dx.doi.org/10.1109/lcomm.2021.3122980.

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Valiulahi, Iman, Christos Masouros, Abdelhamid Salem, and Fan Liu. "Antenna Selection for Energy-Efficient Dual-Functional Radar-Communication Systems." IEEE Wireless Communications Letters 11, no. 4 (2022): 741–45. http://dx.doi.org/10.1109/lwc.2022.3142043.

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Liu, Fan, Christos Masouros, Tharmalingam Ratnarajah, and Athina Petropulu. "On Range Sidelobe Reduction for Dual-Functional Radar-Communication Waveforms." IEEE Wireless Communications Letters 9, no. 9 (2020): 1572–76. http://dx.doi.org/10.1109/lwc.2020.2997959.

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5

Shi, Shengnan, Zhaoyi Wang, Zishu He, and Ziyang Cheng. "Constrained waveform design for dual-functional MIMO radar-Communication system." Signal Processing 171 (June 2020): 107530. http://dx.doi.org/10.1016/j.sigpro.2020.107530.

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Li, Ting, Tian Liu, Zhangli Song, Lin Zhang, and Yiming Ma. "Deep Learning-Based Multi-Feature Fusion for Communication and Radar Signal Sensing." Electronics 13, no. 10 (2024): 1872. http://dx.doi.org/10.3390/electronics13101872.

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Recent years witness the rapid development of communication and radar technologies, and many transmitters are equipped with both communication and radar functionalities. To keep track of the working state of a target dual-functional transmitter, it is crucial to sense the modulation mode of the emitted signals. In this paper, we propose a deep learning-based intelligent modulation sensing technique for dual-functional transmitters. Different from existing modulation sensing methods, which usually focus on communication signals, we take both communication and radar signals into consideration. T
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7

Hieu, Nguyen Quang, Dinh Thai Hoang, Nguyen Cong Luong, and Dusit Niyato. "iRDRC: An Intelligent Real-Time Dual-Functional Radar-Communication System for Automotive Vehicles." IEEE Wireless Communications Letters 9, no. 12 (2020): 2140–43. http://dx.doi.org/10.1109/lwc.2020.3014972.

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8

Wang, Xinyi, Zesong Fei, Zhong Zheng, and Jing Guo. "Joint Waveform Design and Passive Beamforming for RIS-Assisted Dual-Functional Radar-Communication System." IEEE Transactions on Vehicular Technology 70, no. 5 (2021): 5131–36. http://dx.doi.org/10.1109/tvt.2021.3075497.

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Zhang, Tingxiao, Yongbo Zhao, Donghe Liu, and Jinli Chen. "Interference optimized dual-functional radar-communication waveform design with low PAPR and range sidelobe." Signal Processing 204 (March 2023): 108828. http://dx.doi.org/10.1016/j.sigpro.2022.108828.

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10

Zhao, Yinan, Zhongqing Zhao, Fangqiu Tong, Ping Sun, Xiang Feng, and Zhanfeng Zhao. "Joint Design of Transmitting Waveform and Receiving Filter via Novel Riemannian Idea for DFRC System." Remote Sensing 15, no. 14 (2023): 3548. http://dx.doi.org/10.3390/rs15143548.

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Recently, the problem of target detection in noisy environments for the Dual-Functional Radar Communication (DFRC) integration system has been a hot topic. In this paper, to suppress the noise and further enhance the target detection performance, a novel manifold Riemannian Improved Armijo Search Conjugate Gradient algorithm (RIASCG) framework has been proposed which jointly optimizes the integrated transmitting waveform and receiving filter. Therein, the reference waveform is first designed to achieve excellent pattern matching of radar beamforming. Furthermore, to ensure the quality of syste
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