1548368419's Stars
edenhu1111/OTFS-sensing
Simulation of OTFS sensning
yuanhao-cui/Must-Reading-on-ISAC
Must Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Communications)
YongzhiWu/OFDM_ISAC_simulator
A simple demo for OFDM ISAC systems
FWen/JADE
Joint Azimuth, Elevation, and Delay Estimation for 3D Indoor Localization
luoshuisanxuan/Performance-of-manyyyyyyy-DOA-estimation-method
aishoot/Sound_Localization_Algorithms
Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.
metinaktas/Acoustic-direction-finding-using-single-acoustic-vector-sensor-under-high-reverberation
We propose a novel and robust method for acoustic direction finding, which is solely based on acoustic pressure and pressure gradient measurements from single Acoustic Vector Sensor (AVS). We do not make any stochastic and sparseness assumptions regarding the signal source and the environmental characteristics. Hence, our method can be applied to a wide range of wideband acoustic signals including the speech and noise-like signals in various environments. Our method identifies the “clean” time frequency bins that are not distorted by multipath signals and noise, and estimates the 2D-DOA angles at only those identified bins. Moreover, the identification of the clean bins and the corresponding DOA estimation are performed jointly in one framework in a computationally highly efficient manner. We mathematically and experimentally show that the false detection rate of the proposed method is zero, i.e., none of the time-frequency bins with multiple sources are wrongly labeled as single-source, when the source directions do not coincide. Therefore, our method is significantly more reliable and robust compared to the competing state-of-the-art methods that perform the time-frequency bin selection and the DOA estimation separately. The proposed method, for performed simulations, estimates the source direction with high accuracy (less than 1 degree error) even under significantly high reverberation conditions.
remedy4me/wideband_beamforming
宽带波束形成,鄢社峰优化波束书本复现代码(第八章)
ShlezingerLab/SubspaceNet
msamsami/doa-estimation-music
Estimation of direction of arrivals (DOA) using the MUSIC algorithm
mohdahmad242/DOA-classification
Parameter Estimation in Multi-standard Wideband Receivers via Deep Learning. (DOA - Direction of Arrival)
kjason/DnnNormTimeFreq4DoA
A DNN based Normalized Time-frequency Weighted Criterion for Robust Wideband DoA Estimation
metaCoder-00/Joint-polarization-DOA-estimation
our method for polarized array
chenpengseu/PassiveDOA-ISAC-RIS
The passive sensing method for the ISAC system with RIS
yhqin/wdoa
test for underdetermined wideband DOA estimation using coprime array v.s. snr
metaCoder-00/DOA-estimation
DOA estimation source code
morriswmz/doa-tools
A set of MATLAB functions for direction-of-arrival (DOA) estimation in array signal processing.
NoiseLabUCSD/AlternatingProjections_OLD
A package of MATLAB codes for T-SP-2021 Wagner_Park_Gerstoft, Gridless DOA estimation for Non-uniform linear arrays
m2wagner/Alternating_Projections_Gridless_DOA_Estimation
MATLAB code for Alternating Projections based gridless direction of arrival (DOA) estimation
chenhui07c8/DOA-AOA-algorithms
Direction-of-Arrival Algorithms
WenzheLiu-Speech/sound-source-localization-algorithm_DOA_estimation
关于语音信号声源定位DOA估计所用的一些传统算法
bilzkaist/ActivityTransformer
AcT: Activity Transformer for Motion and Floor Change Detection in Indoor Localization System.
noraagah/-A-local-machine-learning-approach-for-Fingerprint-based-Indoor-Localization
Code for "A Local Machine Learning Approach for Fingerprint based Indoor Localization Code"
WenkeHuang/Pytorch_FedMD
JonOnEarth/indoor-position
Indoor positioninig of fingerprinting
TsingZ0/PFLlib
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
wizard1203/VHL
ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
kyeongsoo/indoor_localization
Research on indoor localization
QinbinLi/MOON
Model-Contrastive Federated Learning (CVPR 2021)
anuragMaravi/IndoorPositoiningSystem
Basic codes for Machine learning algorithms using Indoor positioning System