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雷达通信一体化:共用波形设计和性能边界 被引量:25

Joint Radar and Communications:Shared Waveform Designs and Performance Bounds
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摘要 很多军事和民用平台都同时具备雷达与通信功能。传统的分立式设计增加了系统的体积、功耗和成本,并降低了系统的电磁兼容性能。雷达通信一体化设计能够让雷达和通信共享硬件平台,从而克服上述缺点,受到了学术界和工业界的广泛关注。总体来看,雷达通信一体化可以通过资源分配和共用波形来实现。共用波形的方式具有更高的频谱效率和功率效率,并能够从根本上克服跨系统干扰,因此成为近年来的研究热点。该文首先对现有的雷达通信一体化共用波形设计进行综述,并将共用波形设计方法分为基于通信波形、基于雷达波形和基于联合设计3种类型。然后针对一般的一体化波形,该文对雷达通信一体化系统的性能边界的相关研究进行了综述,揭示了雷达和通信性能的折中。最后对该文内容进行了总结,并对一体化的未来研究方向进行了展望。 Radar and communication systems are hosted on the same platform in many civilian and military applications.Traditionally,radar and communication systems are separately designed,which increases the system size,cost,and power consumption,and decreases the electromagnetic compatibility.Joint radar and communication designs,which have drawn much attention from both the academic and industrial circles,overcome these problems by implementing radar and communication systems using the same hardware.Joint radar and communications systems can be realized by resource allocation and waveform sharing.Waveform sharing schemes have become popular in recent years because they have higher spectral and power efficiency and can fundamentally avoid interference between the different systems.This paper studies the existing strategies of shared waveforms for joint radar and communications systems.The existing strategies are divided into three categories,namely:the communication waveform-based approaches,the radar waveform-based methods,and the joint design schemes.The performance bounds of the joint radar and communication systems are also reviewed to reveal the trade-off between the performance metrics of radar and communications in these systems.The potential for future research into joint radar and communication designs is also discussed.
作者 马丁友 刘祥 黄天耀 刘一民 MA Dingyou;LIU Xiang;HUANG Tianyao;LIU Yimin(Department of Electronic Engineering,Tsinghua University,Beijing 100084,China)
出处 《雷达学报(中英文)》 EI CSCD 北大核心 2022年第2期198-212,共15页 Journal of Radars
基金 国家自然科学基金(61801258,62171259)。
关键词 雷达通信一体化 波形设计 波形分集 多输入多输出 捷变雷达 Joint radar and communications Shared waveform design Waveform diversity Multiple-Input Multiple-Output(MIMO) Agile radar
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  • 1T. Ralston, G. Charvat, and J. Peabody, Real-time Through-wall Imaging using an Ultrawideband Multiple?Input Multiple-Output (MIMO) phased array radar system, in Proc. of 4th IEEE Int. Symposium on Phased Array Systems and Technology, Boston, USA, 2010, pp. 551- 558. 被引量:1
  • 2M. Youssef, M. Mah, and A. Agrawala, Challenges: Device-free passive localization for wireless environments, in Proc. of 13th ACM Annual Int. Conl on Mobile Computing and Networking, Montreal, Canada, 2007, pp. 222-229. 被引量:1
  • 31. Wilson and N. Patwari, Radio tomographic imaging with wireless networks, IEEE Trans. Mobile Comput., vol. 9, no. 5,pp. 621-632,2010. 被引量:1
  • 4Z. Zhou, Z. Yang, C. Wu, L. Shangguan, and Y. Liu, Towards omnidirectional passive human detection, in Proc. of 32nd IEEE Int. Conl on Computer Communications, Turin, Italy, 2013, pp. 3057-3065. 被引量:1
  • 5W. Xi, J. Zhao, X.- Y. Li, K. Zhao, S. Tang, X. Liu, and Z. Jiang, Electronic frog eye: Counting crowd using WiFi, in Proc. of 33rd IEEE Int. Conl on Computer Communications, Toronto, Canada, 2014, pp. 361-369. 被引量:1
  • 6Q. Pu, S. Gupta, S. Gollakota, and S. Patel, Whole-home gesture recognition using wireless signals, in Proc. oj' 19th ACM Annual Int. Conl on Mobile Computing and Networking, Miami, USA, 2013, pp. 27-38. 被引量:1
  • 7Y. Wang, J. Liu, Y. Chen, M. Gruteser, J. Yang, and H. Liu, E-eyes: Device-free location-oriented activity identification using fine-grained WiFi, in Proc. of 20th ACM Annual Int. Conf. on Mobile Computing and Networking, Maui, USA, 2014, pp. 617-628. 被引量:1
  • 8G. Wang, Y. Zou, Z. Zhou, K. Wu, and L. M. Ni, We can hear you with Wi-Fil in Proc. of 20th ACM Annual Int. Conf. on Mobile Computing and Networking, Maui, USA, 2014, pp. 593-604. 被引量:1
  • 9P. Melgarejo, X. Zhang, P. Ramanathan, and D. Chu, Leveraging directional antenna capabilities for fine?grained gesture recognition, in Proc. of 2014 ACM Int. Joint Conl on Pervasive and Ubiquitous Computing, Seattle, USA, 2014, pp. 541-551. 被引量:1
  • 10X. Liu, J. Cao, S. Tang, and 1. Wen, Wi-Sleep: Contactless sleep monitoring via WiFi signals, in Proc. of 35th IEEE Real-Time Systems Symposium, Rome, Italy, 2014. 被引量:1

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