scholarly journals Light positioning: A high-accuracy visible light indoor positioning system based on attitude identification and propagation model

2018 ◽  
Vol 14 (2) ◽  
pp. 155014771875826 ◽  
Author(s):  
Qu Wang ◽  
Haiyong Luo ◽  
Aidong Men ◽  
Fang Zhao ◽  
Xile Gao ◽  
...  
Keyword(s):  
Visible Light ◽  
Light Propagation ◽  
Light Emitting Diode ◽  
Indoor Positioning ◽  
Propagation Model ◽  
Small Scale ◽  
Positioning System ◽  
Light Emitting ◽  
Algorithm Construct ◽  
Indoor Positioning System

With the booming development of green lighting technology, visible light-based indoor localization has attracted a lot of attention. Visible light-based indoor positioning technology leverages a light propagation model to pinpoint target location. Compared with the radio localization technology, visible light-based indoor positioning not only can achieve higher location accuracy, but also no electromagnetic interference. In this article, we propose LIPOS, a three-dimensional indoor positioning system based on attitude identification and visible light propagation model. The LIPOS system takes advantage of the existing lighting infrastructures to localize mobile devices that have light-sensing capabilities (e.g. a smartphone) using light emitting diode lamps as anchors. The system can accurately identify the attitude of a smartphone using its integrated sensors, distinguish different light emitting diode beacons using the fast Fourier transform algorithm, construct a position cost-function based on a visible light radiative decay model, and apply a nonlinear optimizing method to acquire the optimal estimation of final location. We have implemented the LIPOS system and evaluated it with a small-scale hardware testbed, as well as moderate-sized simulations. Extensive experiments are performed in three representative indoor environments—open-plan office, cubicle, and corridor, which not only demonstrate that the LIPOS can effectively avoid the negative effects of dynamic change of a smartphone’s attitude angle, but also show better locating accuracy and robustness, and obtain sub-meter level positioning accuracy.

scholarly journals PENGARUH BENTUK GEOMETRI PEMASANGAN LAMPU LED TERHADAP AKURASI INDOOR PSITIONING LI-FI MENGGUNAKAN TEKNIK RECEIVE SIGNAL STRENGTH (RSS)

2021 ◽  
Vol 5 (2) ◽  
pp. 54
Author(s):  
Jaka Satria Prayuda ◽  
Denny Darlis ◽  
Akhmad Hambali
Keyword(s):  
Global Positioning System ◽  
Light Emitting Diode ◽  
Signal Strength ◽  
Indoor Positioning ◽  
Received Signal Strength ◽  
Receive Signal Strength ◽  
Positioning System ◽  
Light Emitting ◽  
Global Positioning ◽  
Indoor Positioning System

Informasi untuk mengetahui lokasi benda atau seseorang merupakan salah satu hal yang penting dalam kehidupan sehari-hari. Selama ini, teknologi Global Positioning System (GPS) dapat diandalkan ketika berada di luar ruangan. Namun, ketika di dalam ruangan, GPS akan sulit menjangkau secara spesifik area bangunan. Dengan memanfaatkan teknologi Light Fidelity (Li-Fi), Indoor Positioning System (IPS) akan lebih mudah dilakukan dan mempunyai keunggulan dari segi akurasi dan efisiensi energi. Tetapi, jika dikaitkan dengan IPS, pemasangan lampu Light Emitting Diode (LED) perlu diperhatikan geometri pemasangannya. Penelitian ini membahas akurasi IPS pada Li-Fi apabila dengan berbagai bentuk geometri dan lokasi pemasangan lampu LED yang berbeda-beda. Teknik positioning Received Signal Strength (RSS) digunakan dengan mengambil kuat daya terima sebagai estimasi suatu jarak. Dengan membandingkan masing-masing bentuk geometri, maka didapatkan data konfigurasi terbaik untuk implementasi IPS. Hasil penelitian menunjukkan bahwa perbedaan jumlah lampu LED dan bentuk geometri akan berpengaruh terhadap akurasi positioning. Hasil menunjukkan bahwa geometri segi enam memiliki rata-rata error yang lebih kecil dibandingkan geometri yang lain, yakni sebesar 1,53×10?05m. Semakin banyak lampu LED atau poin referensi dengan rentang jarak lampu yang lebih rapat, maka dapat menghasilkan positioning yang lebih baik. Kata Kunci: Light Fidelity (Li-Fi), Indoor Positioning System (IPS), Received Signal Strength (RSS), Geometri.

scholarly journals Reduced Tilting Effect of Smartphone CMOS Image Sensor in Visible Light Indoor Positioning

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1635
Author(s):  
Md Habibur Rahman ◽  
Mohammad Abrar Shakil Sejan ◽  
Jong-Jin Kim ◽  
Wan-Young Chung
Keyword(s):  
Machine Learning ◽  
Visible Light ◽  
Light Emitting Diode ◽  
Cmos Image Sensor ◽  
Indoor Positioning ◽  
Image Sensor ◽  
Image Features ◽  
Oxide Semiconductor ◽  
Positioning System ◽  
Indoor Positioning System

Visible light positioning (VLP) using complementary metal–oxide–semiconductor (CMOS) image sensors is a cost-effective solution to the increasing demand for an indoor positioning system. However, in most of the existing VLP systems with an image sensor, researchers assume that the receiving image sensor is positioned parallel to the indoor floor without any tilting and, thus, have only focused on the high-precision positioning algorithm and ignored the proper light-emitting diode (LED)-ID recognition. To address these limitations, we present, herein, a smartphone CMOS image sensor and visible light-based indoor localization system for a receiver device in a tilted position, and we have applied a machine learning approach for optimized LED-ID detection. For detection of the LED-ID, we generated different features for different LED-IDs and utilize a machine learning method to identify each ID as opposed to using the conventional coding and decoding method. An image processing method was used for the image features extraction and selection. We utilized the rolling shutter mechanism of the smartphone CMOS image sensor in our indoor positioning system. Additionally, to improve the LED-ID detection and positioning accuracy with the tilting of the receiver, we utilized the embedded fusion sensors of the smartphone (e.g., accelerometer, gyroscope, and magnetometer, which can be used to extract the yaw, pitch, and roll angles). The experimental results for the proposed positioning system show that it can provide 2.49, 4.63, 8.46, and 12.20 cm accuracy with angles of 0, 5, 10, and 15°, respectively, within a 2 m × 2 m × 2 m positioning area.

scholarly journals IBPS: iBeacons Based Improved Indoor Positioning System

2020 ◽  
Vol 8 (5) ◽  
pp. 3792-3797
Keyword(s):  
Research Work ◽  
Energy Resource ◽  
Smart Phone ◽  
Indoor Positioning ◽  
Small Scale ◽  
Positioning System ◽  
Human Organ ◽  
Proposed Model ◽  
Small Hand ◽  
Indoor Positioning System

Smartphone plays a key role in integrating the entire world into a small hand. This feature made these smartphones as another human organ of many people. One of the main feature in every smart phone is GPS which used to travel new places, to locate and find optimized way to reach their destination. As we aware GPS is an outdoor application, GPS location is not accurate in indoor and small scale areas. This leads to an advanced research to improve the accuracy in GPS positing for the benefit of indoor applications. This research proposes a new iBeacons based Improved Indoor Positioning System for indoor positing application using Bluetooth low energy (BLE) beacons. This model helps the mobile application to find the exact location at micro-level scale. The objective of this research work is to design a potable indoor positing system (IPS) for indoor applications with at least 100m accuracy with in the inbuilt energy resource limitations. The proposed model has been built and verified in all the aspects. The location accuracy and energy efficiency of the proposed model is compared and found better than the existing models

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