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Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design

IEEE Transactions on Signal Processing · 2018 · Vol. 66(16) · pp. 4264–4279
Fan LiuLongfei ZhouChristos MasourosAng LiWu LuoAthina P. Petropulu

Abstract

We focus on a dual-functional multi-input-multi-output (MIMO) radar-communication (RadCom) system, where a single transmitter with multiple antennas communicates with downlink cellular users and detects radar targets simultaneously. Several design criteria are considered for minimizing the downlink multiuser interference. First, we consider both omnidirectional and directional beampattern design problems, where the closed-form globally optimal solutions are obtained. Based on the derived waveforms, we further consider weighted optimizations targeting a flexible tradeoff between radar and communications performance and introduce low-complexity algorithms. Moreover, to address the more practical constant modulus waveform design problem, we propose a branch-and-bound algorithm that obtains a globally optimal solution, and derive its worst-case complexity as function of the maximum iteration number. Finally, we assess the effectiveness of the proposed waveform design approaches via numerical results.

Radar Systems and Signal ProcessingAdvanced SAR Imaging TechniquesRadio Wave Propagation StudiesComputer scienceWaveformRadarDual (grammatical number)Radar trackerElectronic engineeringTelecommunicationsEngineering

Funding

  • National Natural Science Foundation of China
  • China Scholarship Council
  • Engineering and Physical Sciences Research Council
Citations
915
FWCI
380.19
field-weighted impact
References
68
Percentile
100%
vs. same field & year
Citations per year
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References
On Probing Signal Design For MIMO Radar
IEEE Transactions on Signal Processing · 2007 · 1,020 citations
MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission
IEEE Transactions on Wireless Communications · 2018 · 892 citations
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