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Träfflista för sökning "WFRF:(Vorobyov A. A.) srt2:(2015-2019)"

Sökning: WFRF:(Vorobyov A. A.) > (2015-2019)

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1.
  • Girnyk, Maksym, et al. (författare)
  • On the optimal relay design for multi-antenna cognitive two-way AF relay networks
  • 2015
  • Ingår i: Conference Record. - 9781479982974 ; , s. 1579-1583
  • Konferensbidrag (refereegranskat)abstract
    • Cognitive relaying is an efficient method for tackling the problem of spectrum scarcity by serving new (secondary) users, while keeping the existing (primary) users satisfied with their service. Moreover, additional gains can be attained from employment of the two-way relaying with multiple-antenna relays within the secondary network. In this paper, we consider an underlay two-way cognitive network and propose an efficient algorithm for computing a (nearly) optimal relay precoder matrix subject to the interference constraint towards the primary network. The efficiency of the proposed solution is highlighted by means of numerical simulations.
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2.
  • Mishra, Kumar Vijay, et al. (författare)
  • Toward Millimeter-Wave Joint Radar Communications A signal processing perspective
  • 2019
  • Ingår i: IEEE signal processing magazine (Print). - : Institute of Electrical and Electronics Engineers (IEEE). - 1053-5888 .- 1558-0792. ; 36:5, s. 100-114
  • Tidskriftsartikel (refereegranskat)abstract
    • 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.
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