Low-complexity joint 3D super-resolution estimation of range velocity and angle of multi-targets based on FMCW radar
Y Li, Q Long, Z Wu, Z Zhou - Sensors, 2022 - mdpi.com
Multi-dimensional parameters joint estimation of multi-targets is introduced to implement
super-resolution sensing in range, velocity, azimuth angle, and elevation angle for …
super-resolution sensing in range, velocity, azimuth angle, and elevation angle for …
Frequency-Comb-Enabled Photonic RF Memory for Multi-False-Target Range-Velocity Compound Deception Jamming
In this paper, we report the first all-optical solution for multi-false-target range-velocity
compound deception jamming based on frequency-comb-enabled photonic RF memory …
compound deception jamming based on frequency-comb-enabled photonic RF memory …
Radar range in multi-target mode
The paper presents the theoretical simulation results of mmWave frequency modulated
continuous wave (FMCW) radars in multi-target mode. The speed of objects is determined …
continuous wave (FMCW) radars in multi-target mode. The speed of objects is determined …
Indoor localization and trajectory tracking system based on millimeter-wave radar sensor
X Wang, Z Zhang, N Zhao, Y Zhang… - 2021 IEEE 10th Data …, 2021 - ieeexplore.ieee.org
In this paper, we propose a novel indoor location scheme base on Frequency Modulated
Continuous Wave (FMCW) radar to realize high precision positioning. Firstly, to achieve …
Continuous Wave (FMCW) radar to realize high precision positioning. Firstly, to achieve …
Compressive Signal Processing for Estimating Range-Velocity-AoA in FMCW Radar Applications
Frequency-modulated continuous wave (FMCW) radars are known to accurately estimate
the parameters of targets with low-cost and low-power transceiver systems. This work shows …
the parameters of targets with low-cost and low-power transceiver systems. This work shows …
Quantum LiDAR with Frequency Modulated Continuous Wave
MD Huang, ZF Jiang, HY Chen, Y Zuo, XP Hu… - arXiv preprint arXiv …, 2023 - arxiv.org
The range and speed of a moving object can be ascertained using the sensing technique
known as light detection and ranging (LiDAR). It has recently been suggested that quantum …
known as light detection and ranging (LiDAR). It has recently been suggested that quantum …
Convolutional Neural Networks for Processing Micro-Doppler Signatures and Range-Azimuth Radar Maps of Frequency Modulated Continuous Wave Radars
AA Mardiev, VD Kuptsov - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The article is devoted to the development of algorithms for radar data processing of
continuous-wave radars using convolutional neural networks. The aim of the work is to …
continuous-wave radars using convolutional neural networks. The aim of the work is to …
Rain attenuation in millimeter wave, centimeter wave and visible light ranges
The paper presents the results of theoretical simulation of mmWave, cmWave and visible
light attenuation in rain based on the Mie scattering theory. Specific rain attenuation has …
light attenuation in rain based on the Mie scattering theory. Specific rain attenuation has …
Testing of Emerging Wireless Sensor Networks Using Radar Signals With Machine Learning Algorithms
S Selvarajan, H Manoharan… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
In this article, machine learning methods are used to assess how well wireless sensor
networks transmit and receive radar signals. Measurements are done with labeled and …
networks transmit and receive radar signals. Measurements are done with labeled and …
An Efficient CS-Based Spectral Peak Search Method
B Chen, Y Sun - Sensors, 2022 - mdpi.com
Spectral peak search is an essential part of the frequency domain parametric method. In this
paper, a spectral peak search algorithm employing the principle of compressed sensing …
paper, a spectral peak search algorithm employing the principle of compressed sensing …