Serbetci et al., 2023 - Google Patents
Simple and Effective Augmentation Methods for CSI Based Indoor LocalizationSerbetci et al., 2023
View PDF- Document ID
- 221532853243598171
- Author
- Serbetci O
- Lee J
- Burghal D
- Molisch A
- Publication year
- Publication venue
- GLOBECOM 2023-2023 IEEE Global Communications Conference
External Links
Snippet
Indoor localization is a challenging task. Compared to outdoor environments where GPS is dominant, there is no robust and almost-universal approach. Recently, machine learning (ML) has emerged as the most promising approach for achieving accurate indoor …
- 238000000034 method 0 title abstract description 48
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/0205—Details
- G01S5/0221—Details of receivers or network of receivers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/0252—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves by comparing measured values with pre-stored measured or simulated values
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/001—Modulated-carrier systems using chaotic signals
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S3/00—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
- G01S3/02—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using radio waves
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Li et al. | AF-DCGAN: Amplitude feature deep convolutional GAN for fingerprint construction in indoor localization systems | |
Sun et al. | Fingerprint-based localization for massive MIMO-OFDM system with deep convolutional neural networks | |
Gönültaş et al. | CSI-based multi-antenna and multi-point indoor positioning using probability fusion | |
Ruan et al. | Hi-Loc: Hybrid indoor localization via enhanced 5G NR CSI | |
Gao et al. | Toward 5G NR high-precision indoor positioning via channel frequency response: A new paradigm and dataset generation method | |
Ciftler et al. | Federated learning for RSS fingerprint-based localization: A privacy-preserving crowdsourcing method | |
Arnold et al. | On deep learning-based massive MIMO indoor user localization | |
Dvorecki et al. | A machine learning approach for Wi-Fi RTT ranging | |
Cai et al. | PILC: Passive indoor localization based on convolutional neural networks | |
Ciftler et al. | Federated learning for localization: A privacy-preserving crowdsourcing method | |
Yang et al. | Model-based learning network for 3-D localization in mmWave communications | |
Geng et al. | Multipoint channel charting with multiple-input multiple-output convolutional autoencoder | |
Tsai et al. | Refined autoencoder-based CSI hidden feature extraction for indoor spot localization | |
Fan et al. | Localization based on improved sparse Bayesian learning in mmWave MIMO systems | |
CN114371445A (en) | Multi-radiation source direct positioning method based on single unmanned aerial vehicle | |
Serbetci et al. | Simple and Effective Augmentation Methods for CSI Based Indoor Localization | |
Owfi et al. | A Meta-learning based Generalizable Indoor Localization Model using Channel State Information | |
Euchner et al. | Improving triplet-based channel charting on distributed massive MIMO measurements | |
Tian et al. | Deep-learning based high-precision localization with massive MIMO | |
Yazdanian et al. | DeepPos: Deep supervised autoencoder network for CSI based indoor localization | |
Zhou et al. | Indoor Positioning With Multibeam CSI From a Single 5G Base Station | |
Moosavi et al. | Fingerprinting localization method based on clustering and Gaussian process regression in distributed massive MIMO systems | |
Liu et al. | Fingerprint-based 3D Hierarchical Localization for Cell-Free Massive MIMO Systems | |
CN110596668B (en) | Target external radiation source passive positioning method based on reciprocal deep neural network | |
Li et al. | Wavelet transform DC-GAN for diversity promoted fingerprint construction in indoor localization |