Opportunistic Radar in IEEE 802.11ad Networks

Grossi, Emanuele; Lops, Marco; Venturino, Luca; Zappone, Alessio

doi:10.1109/tsp.2018.2813300

Cited by 103 publications

(90 citation statements)

References 46 publications

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“…Dual-functional radarcommunication in mmWave systems is a new and promising research area. Recent treatises [92]- [94] propose to invoke the radar function to support V2X communications based on the IEEE 802.11ad WLAN protocol, which operates in the 60GHz band. As the WLAN standard is typically indoor based and employs small-scale antenna arrays, it can only support short-range sensing at the order of tens of meters.…”

Section: Limitations Of the Existing Workmentioning

confidence: 99%

Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

Liu

Masouros

Petropulu

et al. 2020

IEEE Trans. Commun.

1,150

602

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For the sake of enhancing the exploitation of the permanently allocated, but potentially under-utilized spectral resources, sharing the frequency bands between radar and communication systems has attracted substantial attention. More explicitly, there is increasing demand for sharing both the frequency band and the hardware platform between these two functionalities, but naturally, its success critically hinges on highquality joint sensing and communications. In this paper, we firstly overview the application scenarios and the research progress in the area of communication and radar spectrum sharing, with particular emphasis on: 1) Radar-communication coexistence; 2) Dual-functional radar-communication (DFRC) systems. In the remainder of the paper, we propose a novel transceiver architecture and frame structure for a DFRC base station (BS) operating in the millimeter wave (mmWave) band, using the hybrid analog-digital (HAD) beamforming technique. We assume that the BS is serving a multi-antenna aided user equipment (UE) operating in a mmWave channel, which in the meantime actively detects multiple targets. Note that part of the targets also play the role of scatterers for the communication signal. Given this framework, we then propose a novel scheme for joint target search and communication channel estimation relying on the omni-directional pilot signals generated by the HAD structure. Given a fully-digital communication precoder and a desired radar transmit beampattern, we propose to design the analog and digital precoders under non-convex constant-modulus (CM) and power constraints, such that the BS can formulate narrow beams towards all the targets, while pre-equalizing the impact of the communication channel. Furthermore, we design an HAD receiver that can simultaneously process signals from the UE and echo waves from the targets. By tracking the angular variation of the targets, we show that it is possible to recover the target echoes and mitigate the potential interference imposed on the UE signals by invoking the successive interference cancellation (SIC) technique, even when the radar and communication signals share the equivalent signal-to-noise ratio (SNR). The feasibility and the efficiency of the proposed approaches in realizing DFRC are verified via numerical simulations. Finally, our discussions are summarized by overviewing the open problems in the research field of CRSS.

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Section: Limitations Of the Existing Workmentioning

confidence: 99%

Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

Liu

Masouros

Petropulu

et al. 2020

IEEE Trans. Commun.

1,150

602

View full text Add to dashboard Cite

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“…Algorithm 1 Triple Alternating Minimization Algorithm for Solving (8) Input: H, F com , F rad , 0 ≤ η ≤ 1, P T , tolerable accuracy ε > 0 and the maximum iteration number k max Output: F RF , F BB , U 1. Initialize randomly U (0) , F The proposed TAltMin algorithm can be viewed as a coordinate descent method, where the convergence can be strictly guaranteed [17].…”

Section: The Taltmin Proceduresmentioning

confidence: 99%

“…sub-6GHz, and are thus difficult to be extended to the mmWave scenarios. Recent works propose to implement the radar function to support V2X communications based on the IEEE 802.11ad WLAN protocol, which operates at the 60GHz band [7,8]. As the WLAN standard is typically indoor based and employs smallscale antenna arrays, it can only support short-range sensing at the order of tens of meters.…”

Section: Introductionmentioning

confidence: 99%

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Hybrid Beamforming with Sub-arrayed MIMO Radar: Enabling Joint Sensing and Communication at mmWave Band

Liu

Masouros

2019

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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In this paper, we propose a beamforming design for dualfunctional radar-communication (DFRC) systems at the millimeter wave (mmWave) band, where hybrid beamforming and sub-arrayed MIMO radar techniques are jointly exploited. We assume that a base station (BS) is serving a user equipment (UE) located in a Non-Line-of-Sight (NLoS) channel, which in the meantime actively detects multiple targets located in a Line-of-Sight (LoS) channel. Given the optimal communication beamformer and the desired radar beampattern, we propose to design the analog and digital beamformers under non-convex constant-modulus (CM) and power constraints, such that the weighted summation of the communication and radar beamforming errors is minimized. The formulated optimization problem can be decomposed into three subproblems, and is solved by the alternating minimization approach. Numerical simulations verify the feasibility of the proposed beamforming design, and show that our approach offers a favorable performance tradeoff between sensing and communication.

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“…The ever increasing demand for high data rates in wireless communications has forced coexistence of communication and radar systems in the same frequency bands [1]: this can be achieved by either allowing only one system to be equipped by an active properly designed transmitter -see, e.g. the information embedding strategies [2] to transmit information through a radar waveform, and the approach in [3], [4], which can somehow be classified as a passive radar [1], to accomplish sensing functions through communication signals -or considering architectures with multiple transmitters operating in spectral overlap [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

Interference Removal for Radar/Communication Co-Existence: The Random Scattering Case

Zheng

Lops

et al. 2019

IEEE Trans. Wireless Commun.

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In this paper we consider an un-cooperative spectrum sharing scenario, wherein a radar system is to be overlaid to a pre-existing wireless communication system. Given the order of magnitude of the transmitted powers in play, we focus on the issue of interference mitigation at the communication receiver. We explicitly account for the reverberation produced by the (typically high-power) radar transmitter whose signal hits scattering centers (whether targets or clutter) producing interference onto the communication receiver, which is assumed to operate in an un-synchronized and un-coordinated scenario. We first show that receiver design amounts to solving a non-convex problem of joint interference removal and data demodulation: next, we introduce two algorithms, both exploiting sparsity of a proper representation of the interference and of the vector containing the errors of the data block. The first algorithm is basically a relaxed constrained Atomic Norm minimization, while the latter relies on a two-stage processing structure and is based on alternating minimization. The merits of these algorithms are demonstrated through extensive simulations: interestingly, the two-stage alternating minimization algorithm turns out to achieve satisfactory performance with moderate computational complexity. Index TermsY. Li is with the School

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Opportunistic Radar in IEEE 802.11ad Networks

Cited by 103 publications

References 46 publications

Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

Hybrid Beamforming with Sub-arrayed MIMO Radar: Enabling Joint Sensing and Communication at mmWave Band

Interference Removal for Radar/Communication Co-Existence: The Random Scattering Case

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