Design and performance evaluation of VLC indoor positioning system using optical orthogonal codes

2014 ◽  
Author(s):  
Sari Yamaguchi ◽  
Vuong V. Mai ◽  
Truong C. Thang ◽  
Anh T. Pham
Keyword(s):  
Performance Evaluation ◽  
Indoor Positioning ◽  
Positioning System ◽  
Optical Orthogonal Codes ◽  
Orthogonal Codes ◽  
And Performance ◽  
Indoor Positioning System

scholarly journals Software Sensor for Activity-Time Monitoring and Fault Detection in Production Lines

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2346 ◽  
Author(s):  
Tamas Ruppert ◽  
Janos Abonyi
Keyword(s):  
Real Time ◽  
Performance Monitoring ◽  
Relevant Information ◽  
Indoor Positioning ◽  
Sensor Data ◽  
Positioning System ◽  
Activity Time ◽  
Software Sensor ◽  
And Performance ◽  
Indoor Positioning System

Industry 4.0-based human-in-the-loop cyber-physical production systems are transforming the industrial workforce to accommodate the ever-increasing variability of production. Real-time operator support and performance monitoring require accurate information on the activities of operators. The problem with tracing hundreds of activity times is critical due to the enormous variability and complexity of products. To handle this problem a software-sensor-based activity-time and performance measurement system is proposed. To ensure a real-time connection between operator performance and varying product complexity, fixture sensors and an indoor positioning system (IPS) were designed and this multi sensor data merged with product-relevant information. The proposed model-based performance monitoring system tracks the recursively estimated parameters of the activity-time estimation model. As the estimation problem can be ill-conditioned and poor raw sensor data can result in unrealistic parameter estimates, constraints were introduced into the parameter-estimation algorithm to increase the robustness of the software sensor. The applicability of the proposed methodology is demonstrated on a well-documented benchmark problem of a wire harness manufacturing process. The fully reproducible and realistic simulation study confirms that the indoor positioning system-based integration of primary sensor signals and product-relevant information can be efficiently utilized in terms of the constrained recursive estimation of the operator activity.

Performance Evaluation of Wi-Fi Finger Printing based Indoor Positioning System

2018 ◽  
Author(s):  
Noor ul Husnain Lodhi ◽  
Aiman Malik ◽  
Talha Zulfiqar ◽  
Muhammad Awais Javed ◽  
Nazmus Shaker Nafi
Keyword(s):  
Performance Evaluation ◽  
Indoor Positioning ◽  
Positioning System ◽  
Finger Printing ◽  
Indoor Positioning System

scholarly journals Performance Evaluation of Multilateration and Fingerprinting Method in Indoor Positioning System

2021 ◽  
Vol 11 (10) ◽  
pp. 143-152
Author(s):  
Christian Alvin Setiabudi ◽  
◽  
Gede Putra Kusuma
Keyword(s):  
Performance Evaluation ◽  
Hybrid Method ◽  
Energy Cost ◽  
Indoor Positioning ◽  
Low Energy ◽  
The Other ◽  
Positioning System ◽  
Huge Impact ◽  
Indoor Positioning System ◽  
Over Time

Indoor Positioning System has been one of the most attractive research after Bluetooth Low Energy (BLE) was introduced. This technology mainly used because of the reduction of material and energy cost over time that has huge impact compared to other technologies, which are more costly. Most recent research resolve around improving the accuracy of calculated position of the user by implementing different method to enable an indoor positioning system, and to remove any noises in the dataset. This paper objective is to compare some of the available methods that are used to enable Indoor Positioning System such as Fingerprinting, Multilateration, Trilateration, and Heron Bilateration. Since the performance of Fingerprinting is better compared to other methods, we combine Fingerprinting’s offline phase with the other methods to create a hybrid method and compare the accuracy of predicted user’s position. The experimental results show that the Fingerprinting and WKNN method outperform all other methods by resulting on 271.76 cm mean of error.

scholarly journals High-Precision RTT-Based Indoor Positioning System Using RCDN and RPN

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3701
Author(s):  
Ju-Hyeon Seong ◽  
Soo-Hwan Lee ◽  
Won-Yeol Kim ◽  
Dong-Hoan Seo
Keyword(s):  
High Precision ◽  
Distance Estimation ◽  
Sampling Period ◽  
Multipath Fading ◽  
Indoor Positioning ◽  
Positioning System ◽  
Positioning Systems ◽  
Positioning Errors ◽  
Location Determination ◽  
Indoor Positioning System

Wi-Fi round-trip timing (RTT) was applied to indoor positioning systems based on distance estimation. RTT has a higher reception instability than the received signal strength indicator (RSSI)-based fingerprint in non-line-of-sight (NLOS) environments with many obstacles, resulting in large positioning errors due to multipath fading. To solve these problems, in this paper, we propose high-precision RTT-based indoor positioning system using an RTT compensation distance network (RCDN) and a region proposal network (RPN). The proposed method consists of a CNN-based RCDN for improving the prediction accuracy and learning rate of the received distances and a recurrent neural network-based RPN for real-time positioning, implemented in an end-to-end manner. The proposed RCDN collects and corrects a stable and reliable distance prediction value from each RTT transmitter by applying a scanning step to increase the reception rate of the TOF-based RTT with unstable reception. In addition, the user location is derived using the fingerprint-based location determination method through the RPN in which division processing is applied to the distances of the RTT corrected in the RCDN using the characteristics of the fast-sampling period.

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