Indoor Localization Based on Scatterers and Multipath Propagation

Indoor positioning using Wi-Fi signals is an economic technique. Its drawback is that multipath propagation distorts these signals, leading to an inaccurate localization. An approach to improve the positioning accuracy consists of using fingerprints based on channel state information (CSI). Following this line, we propose a new positioning method which consists of three stages. In the first stage, which is run during initialization, we build a model for the fingerprints of the environment in which we do localization. This model permits obtaining a precise interpolation of fingerprints at positions where a fingerprint measurement is not available. In the second stage, we use this model to obtain a preliminary position estimate based only on the fingerprint measured at the receiver’s location. Finally, in the third stage, we combine this preliminary estimation with the dynamical model of the receiver’s motion to obtain the final estimation. We compare the localization accuracy of the proposed method with other rival methods in two scenarios, namely, when fingerprints used for localization are similar to those used for initialization, and when they differ due to alterations in the environment. Our experiments show that the proposed method outperforms its rivals in both scenarios.

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INDOOR LOCALIZATION SOLUTION FOR GPS

International Journal of Research -GRANTHAALAYAH ◽

10.29121/granthaalayah.v5.i4raceee.2017.3334 ◽

2017 ◽

Vol 5 (4RACEEE) ◽

pp. 124-129

Author(s):

Shreyanka B. Chougule ◽

Sayed Abdulhayan

Keyword(s):

Performance Improvement ◽

Radio Frequency Identification ◽

Indoor Environment ◽

Review Paper ◽

Indoor Localization ◽

Multipath Propagation ◽

Signal Attenuation ◽

Improve Performance ◽

Frequency Identification ◽

Dense Urban Environment

GPS technology is used for positioning application and it is highly reliable and accurate when used outdoor. Due to multipath propagation, signal attenuation and blockage its performance is limited in indoor and dense urban environment. As a solution, technologies like Apple’s iBeacon, Radio-frequency identification (RFID), Ultrasonic and Wireless Fidelity (Wi-Fi) access points are used to improve performance in Indoor environment. We are having a look at all these technologies which are meant for GPS Indoor performance improvement in this review paper.

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Image-Based Indoor Localization Using Smartphone Camera

Wireless Communications and Mobile Computing ◽

10.1155/2021/3279059 ◽

2021 ◽

Vol 2021 ◽

pp. 1-9

Author(s):

Shuang Li ◽

Baoguo Yu ◽

Yi Jin ◽

Lu Huang ◽

Heng Zhang ◽

...

Keyword(s):

Indoor Localization ◽

Multipath Propagation ◽

Reference Points ◽

Location Based Services ◽

Depth Images ◽

Research Areas ◽

Novel Approach ◽

Public Data ◽

Wide Range ◽

Increasing Demand

With the increasing demand for location-based services such as railway stations, airports, and shopping malls, indoor positioning technology has become one of the most attractive research areas. Due to the effects of multipath propagation, wireless-based indoor localization methods such as WiFi, bluetooth, and pseudolite have difficulty achieving high precision position. In this work, we present an image-based localization approach which can get the position just by taking a picture of the surrounding environment. This paper proposes a novel approach which classifies different scenes based on deep belief networks and solves the camera position with several spatial reference points extracted from depth images by the perspective- n -point algorithm. To evaluate the performance, experiments are conducted on public data and real scenes; the result demonstrates that our approach can achieve submeter positioning accuracy. Compared with other methods, image-based indoor localization methods do not require infrastructure and have a wide range of applications that include self-driving, robot navigation, and augmented reality.

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