60 research outputs found
Emerging Prototyping Activities in Joint Radar-Communications
The previous chapters have discussed the canvas of joint radar-communications
(JRC), highlighting the key approaches of radar-centric, communications-centric
and dual-function radar-communications systems. Several signal processing and
related aspects enabling these approaches including waveform design, resource
allocation, privacy and security, and intelligent surfaces have been elaborated
in detail. These topics offer comprehensive theoretical guarantees and
algorithms. However, they are largely based on theoretical models. A hardware
validation of these techniques would lend credence to the results while
enabling their embrace by industry. To this end, this chapter presents some of
the prototyping initiatives that address some salient aspects of JRC. We
describe some existing prototypes to highlight the challenges in design and
performance of JRC. We conclude by presenting some avenues that require
prototyping support in the future.Comment: Book chapter, 54 pages, 13 figures, 10 table
Double-Phase-Shifter based Hybrid Beamforming for mmWave DFRC in the Presence of Extended Target and Clutters
In millimeter-wave (mmWave) dual-function radar-communication (DFRC) systems,
hybrid beamforming (HBF) is recognized as a promising technique utilizing a
limited number of radio frequency chains. In this work, in the presence of
extended target and clutters, a HBF design based on the subarray connection
architecture is proposed for a multiple-input multiple-output (MIMO) DFRC
system. In this HBF, the double-phase-shifter (DPS) structure is embedded to
further increase the design flexibility. We derive the communication spectral
efficiency (SE) and radar signal-to-interference-plus-noise-ratio (SINR) with
respect to the transmit HBF and radar receiver, and formulate the HBF design
problem as the SE maximization subjecting to the radar SINR and power
constraints. To solve the formulated nonconvex problem, the joinT Hybrid
bRamforming and Radar rEceiver OptimizatioN (THEREON) is proposed, in which the
radar receiver is optimized via the generalized eigenvalue decomposition, and
the transmit HBF is updated with low complexity in a parallel manner using the
consensus alternating direction method of multipliers (consensus-ADMM).
Furthermore, we extend the proposed method to the multi-user multiple-input
single-output (MU-MISO) scenario. Numerical simulations demonstrate the
efficacy of the proposed algorithm and show that the solution provides a good
trade-off between number of phase shifters and performance gain of the DPS HBF
A Blender-based channel simulator for FMCW Radar
Radar simulation is a promising way to provide data-cube with effectiveness
and accuracy for AI-based approaches to radar applications. This paper develops
a channel simulator to generate frequency-modulated continuous-wave (FMCW)
waveform multiple inputs multiple outputs (MIMO) radar signals. In the proposed
simulation framework, an open-source animation tool called Blender is utilized
to model the scenarios and render animations. The ray tracing (RT) engine
embedded can trace the radar propagation paths, i.e., the distance and signal
strength of each path. The beat signal models of time division multiplexing
(TDM)-MIMO are adapted to RT outputs. Finally, the environment-based models are
simulated to show the validation.Comment: Presented in ISCS2
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