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Toward Millimeter-Wave Joint Radar Communications: A signal processing perspective

机译：走向毫米波关节雷达通信：信号处理视角

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摘要

Synergistic design of communications and radar systems with common spectral and hardware resources is heralding a new era of efficiently utilizing a limited radio-frequency (RF) spectrum. Such a joint radar communications (JRC) model has advantages of low cost, compact size, less power consumption, spectrum sharing, improml performance, and safety due to enhanced information sharing. Today, millimeter-wave (mm-wave) communications have emerged as the preferred technology for short distance wireless links because they provide transmission bandwidth that is several gigahertz wide. This band is also promising for short-range radar applications, which benefit from the high-range resolution arising from large transmit signal bandwidths. Signal processing techniques are critical to the implementation of mm-wave JRC systems. Major challenges are joint waveform design and performance criteria that would optimally trade off between communications and radar functionalities. Novel multiple-input, multiple-output (MIMO) signal processing techniques are required because mm-wave JRC systems employ large antenna arrays. There are opportunities to exploit recent advances in cognition, compressed sensing, and machine learning to reduce required resources and dynamically allocate them with low overheads. This article provides a signal processing perspective of mm-wave JRC systems with an emphasis on waveform design.
机译：具有常见光谱和硬件资源的通信和雷达系统的协同设计是利用有限的射频（RF）光谱有效的新时代。这种联合雷达通信（JRC）模型具有低成本，紧凑尺寸，功耗较少，频谱共享，频谱共享，由于增强的信息共享而频谱共享。如今，毫米波（MM波）通信已成为短距离无线链路的首选技术，因为它们提供了几个千兆赫兹宽的传输带宽。该频段也有希望用于短程雷达应用，这可以从大型发射信号带宽产生的高范围分辨率中受益。信号处理技术对MM波JRC系统的实现至关重要。主要挑战是联合波形设计和绩效标准，可以在通信和雷达功能之间最佳地折交。新颖的多输入，需要多输出（MIMO）信号处理技术，因为MM波JRC系统采用大天线阵列。有机会利用最近的认知，压缩感测和机器学习的进步，以减少所需资源，并用低开销动态分配它们。本文提供了MM-WAVE JRC系统的信号处理透视，其强调波形设计。

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  • 来源
    《IEEE Signal Processing Magazine》 |2019年第5期|100-114|共15页
  • 作者

    Mishra Kumar Vijay; Shankar M. R. Bhavani; Koivunen Visa; Ottersten Bjorn; Vorobyov Sergiy A.;

  • 作者单位

    Hertzwell Automot Radar Singapore Singapore|Univ Luxembourg Interdisciplinary Ctr Secur Reliabil & Trust Luxembourg Luxembourg|US Army Res Lab Adelphi MD 20783 USA;

    Univ Luxembourg Interdisciplinary Ctr Secur Reliabil & Trust Luxembourg Luxembourg|Royal Inst Technol Signal Proc Lab Stockholm Sweden;

    Aalto Univ Signal Proc Espoo Finland|Princeton Univ Princeton NJ 08544 USA;

    Univ Luxembourg Interdisciplinary Ctr Secur Reliabil & Trust Luxembourg Luxembourg|Royal Inst Technol Signal Proc Stockholm Sweden;

    Aalto Univ Dept Signal Proc & Acoust Espoo Finland|Univ Alberta Edmonton AB Canada|Inst Phys & Chem Res Various Res & Fac Posit Tokyo Japan|McMaster Univ Hamilton ON Canada|Univ Duisburg Essen Duisburg Germany|Tech Univ Darmstadt Darmstadt Germany|Heriot Watt Univ Edinburgh Midlothian Scotland;

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