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Found 15 papers, 1 papers with code
An Adaptive Grasping Force Tracking Strategy for Nonlinear and Time-Varying Object Behaviors
Based on generalized stiffness, this paper proposes an adaptive parameter adjustment strategy using a PI controller as an example, enabling dynamic force tracking for objects with varying characteristics.
Exploiting Target Location Distribution in MIMO Radar: PCRB vs. PSBP for Waveform Design
This paper investigates the issue of how to exploit target location distribution for multiple input multiple output (MIMO) radar waveform design.
Cooperative Integrated Sensing and Communication Networks: Analysis and Distributed Design
Second, to show the benefits of Co-ISACNet, we propose to jointly design the HBF to maximize the network communication capacity while satisfying the constraint of beampattern similarity for radar sensing, which results in a highly dimensional and non-convex problem.
Massive MIMO-ISAC System With 1-Bit ADCs/DACs
This paper investigates a hardware-efficient massive multiple-input multiple-output integrated sensing and communication (MIMO-ISAC) system with 1-bit analog-to-digital converters (ADCs)/digital-to-analog converters (DACs).
Task-Oriented Hybrid Beamforming for OFDM-DFRC Systems with Flexibly Controlled Space-Frequency Spectra
This paper investigates the issues of the hybrid beamforming design for the orthogonal frequency division multiplexing dual-function radar-communication (DFRC) system in multiple task scenarios involving the radar scanning and detection task and the target tracking task.
Enhancing Physical Layer Security in Dual-Function Radar-Communication Systems with Hybrid Beamforming Architecture
Additionally, the location of the radar target is also imperfectly known by the BS.
Relative Entropy-Based Constant-Envelope Beamforming for Target Detection in Large-Scale MIMO Radar With Low-Resoultion ADCs
In the second stage, an efficient iterative algorithm based on majorization-minimization is presented to obtain the constant-envelope beamformer according to the attained transmit power.
A Dual-Function Radar-Communication System Empowered by Beyond Diagonal Reconfigurable Intelligent Surface
This work focuses on the use of reconfigurable intelligent surface (RIS) in dual-function radar-communication (DFRC) systems to improve communication capacity and sensing precision, and enhance coverage for both functions.
Dynamic Hybrid Beamforming Design for Dual-Function Radar-Communication Systems
This paper investigates dynamic hybrid beamforming (HBF) for a dual-function radar-communication (DFRC) system, where the DFRC base station (BS) simultaneously serves multiple single-antenna users and senses a target in the presence of multiple clutters.
Hybrid Beamforming in mmWave Dual-Function Radar-Communication Systems: Models, Technologies, and Challenges
As a promising technology in beyond-5G (B5G) and 6G, dual-function radar-communication (DFRC) aims to ensure both radar sensing and communication on a single integrated platform with unified signaling schemes.
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.
Manifold Optimization Methods for Hybrid beamforming in mmWave Dual-Function Radar-Communication System
This paper considers two hybrid beamforming architectures, i. e. the partially-connected and fully-connected structures, for mmWave dual-function radar communication (DFRC) system, where the transmitter communicates with the downlink users and detects radar targets simultaneously.
One-Bit ADCs/DACs based MIMO Radar: Performance Analysis and Joint Design
In this paper, we focus on the detection performance analysis and joint design for the MIMO radar with one-bit ADCs and DACs.
FaceEraser: Removing Facial Parts for Augmented Reality
Whereas, this technique does not satisfy the requirements of facial parts removal, as it is hard to obtain ``ground-truth'' images with real ``blank'' faces.
Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis
In this paper, we propose a novel variant of GAN, Posterior Promoted GAN (P2GAN), which promotes generator with the real information in the posterior distribution produced by discriminator.
