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

By Fan Liu, Longfei Zhou, Christos Masouros, Ang Li, Wu Luo, Athina P. Petropulu. IEEE Transactions on Signal Processing, 2017

925 citations recorded by the source corpus.

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.

Subfields: Aerospace Engineering

View Paper: https://www.semanticscholar.org/paper/abaf9a91f636542a230d32dec71206bfeba703e1

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In Aerospace Engineering

Citations in the corpus

Radar and Communication Coexistence: An Overview: A Review of Recent Methods (2019, neutral): “ms rely on combining radar and communication transmitters in the same hardware platform, which should be designed so as to guarantee the performances of both systems: the information is embedded [25]–[28] in the radar signal, and a MIMO radar transmitter uses a combination of beam-forming and wavefo”
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021, methodology): “As a step forward, sensing and communication functionalities can be fully integrated into all radio emissions [55], where both pilot and payload signals can be exploited for sensing.”
Optimal Transmit Beamforming for Integrated Sensing and Communication (2021, positive): “For instance, the authors in [6] optimized the transmit beamformers to minimize the multiuser interference at communication users, while matching a desired transmit beampattern for sensing.”
Dual-Function Radar Communication Systems: A solution to the spectrum congestion problem (2019, methodology): “Both methods in [27] and [28] optimize the transmitted waveforms on a pulse-to-pulse basis while satisfying radar-specific constraints, such as constant modulus structure and waveform similarity.”
Integrated Sensing and Communication-Assisted Orthogonal Time Frequency Space Transmission for Vehicular Networks (2021, background): “In contrast, [13], [14] proposed to use the same signal waveform to facilitate ISAC.”
Integrated Sensing and Communications: Recent Advances and Ten Open Challenges (2023, background): “We conclude by highlighting some of the open problems at a glance in Table IV again.”
Towards Multi-Functional 6G Wireless Networks: Integrating Sensing, Communication and Security (2021, methodology): “In joint-design ISAC approaches, the beampattern is dedicatedly manipulated to achieve an ideal radar beampattern, while ensuring a high receiver-end signal-to-interference-plus-noise ratio (SINR) for communication [12].”
Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar (2019, methodology): “These studies can be divided into two categories: information embedding [31]–[37], [39] and transmit beamforming [19], [40]–[42].”
Throughput Maximization for UAV-Enabled Integrated Periodic Sensing and Communication (2022, positive): “The authors in [22] proposed a Pareto optimization framework of the DFRC system to analyze the achievable performance region of communication and sensing.”
Radar-Assisted Predictive Beamforming for Vehicular Links: Communication Served by Sensing (2020, methodology): “Aiming for adapting the nonlinearity of the power amplifiers in both radar and communication systems, the work of [14] further considered a constant modulus (CM) DFRC waveform design, which can be efficiently obtained by a sophisticated branch-and-bound (BnB) algorithm.”
An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing (2021, positive): “While problem (34) is again non-convex and NP-hard in general, a branch-and-bound (BnB) algorithm is developed in [25], which ﬁnds its global optimum within only tens of iterations.”
Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming (2021, background): “, to approach some well-designed radar waveforms/beampatterns that are featured with good estimation capability under communication constraints [11]–[13].”
Secure Radar-Communication Systems With Malicious Targets: Integrating Radar, Communications and Jamming Functionalities (2019, neutral): “radar-communication (DFRC) system that is capable of realizing not only the spectral coexistence, but also the shared use of the hardware platform, has been regarded as a promising research direction [12]–[15]. It is noteworthy that the DFRC technique has already been widely explored in numerous civ”
Bayesian Predictive Beamforming for Vehicular Networks: A Low-Overhead Joint Radar-Communication Approach (2020, methodology): “Later on, more advanced DFRC approaches were studied under various conditions and constraints, such as Non Line-of-Sight (NLoS) channels [13], multi-user interference and peak-to-average-power ratio (PAPR)-constrained transmission [14].”
Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey (2023, methodology): “The CRLB of sensing channel estimation is minimized under the constraint of SINR for each user [125].”