Real-time and accurate pulsar time-of-arrival estimation using GA-optimized EMD-CS

Optik ◽  
2021 ◽  
Vol 225 ◽  
pp. 165871
Author(s):  
Lan-lan Liu ◽  
Jin Liu ◽  
Xiao-lin Ning ◽  
Zhi-wei Kang
Keyword(s):  
Real Time ◽  
Time Of Arrival ◽  
Pulsar Time

Real-time optimization of short-term flight profiles to control time of arrival

2019 ◽  
Vol 84 ◽  
pp. 1164-1174 ◽  
Author(s):  
Junwei Gu ◽  
Xingmin Tang ◽  
Wangjun Hong ◽  
Ping Chen ◽  
Teng Li
Keyword(s):  
Real Time ◽  
Time Of Arrival ◽  
Short Term ◽  
Time Optimization ◽  
Control Time ◽  
Real Time Optimization

Reducing Tracking Error in RFID Real-Time Localization Systems Using Kalman Filters

2014 ◽  
Vol 5 (3) ◽  
pp. 1-24
Author(s):  
Benjamin Sanda ◽  
Ikhlas Abdel-Qader ◽  
Abiola Akanmu
Keyword(s):  
Real Time ◽  
Radio Frequency Identification ◽  
Kalman Filters ◽  
Tracking Error ◽  
Time Of Arrival ◽  
Indoor Environments ◽  
Real World Data ◽  
Localization Accuracy ◽  
Accurate Localization ◽  
Localization Systems

The use of Radio Frequency Identification (RFID) has become widespread in industry as a means to quickly and wirelessly identify and track packages and equipment. Now there is a commercial interest in using RFID to provide real-time localization. Efforts to use RFID technology in this way experience localization errors due to noise and multipath effects inherent to these environments. This paper presents the use of both linear Kalman filters and non-linear Unscented Kalman filters to reduce the error rate inherent to real-time RFID localization systems and provide more accurate localization results in indoor environments. A commercial RFID localization system designed for use by the construction industry is used in this work, and a filtering model based on 3rd order motion is developed. The filtering model is tested with real-world data and shown to provide an increase in localization accuracy when applied to both raw time of arrival measurements as well as final localization results.

Towards more helpful bus tracker apps for blind transit riders

First Monday ◽  
2015 ◽  
Author(s):  
Rakesh Babu ◽  
Paige Fuller
Keyword(s):  
Real Time ◽  
Help Seeking ◽  
Qualitative Method ◽  
Time Of Arrival ◽  
Clear Understanding ◽  
Verbal Reports ◽  
Blind Users ◽  
Travel Planning ◽  
Transit Agencies ◽  
Time Systems

Bus trackers aid in travel planning with real-time bus arrival and location information. However, their sight-centered design means they’re inherently challenging for the blind. A clear understanding of their help-seeking situations in interacting with bus trackers is necessary to design appropriate help features as a solution.We present a qualitative method to study help-seeking situations of blind users in interacting with bus-trackers, and illustrate its application on the use of CTA bus tracker. Think-aloud observation of seven participants generated verbal reports of performing bus-tracking activities. Qualitative analysis explained what, where, and how help-seeking situations arose in learning the interface, in site interaction, determining estimated time of arrival, requesting ETA alerts, and finding bus location. We elaborate results pertinent to key help-seeking situations, the underlying help needs, and design implications for appropriate help features. The paper contributes a feasible qualitative method to study help-seeking situations, as well as valuable insights into the thoughts, actions and perceptions of blind users in real time bus tracking. This represents the first step towards developing the tool to transform the 45 million blind citizens into empowered transit riders. Implications for transit agencies, real time systems designers, and research in travel management, human-computer interaction and cognitive science are discussed.

Novel approach to recording theatre utilisation data using Pinpoint: a wearable real-time location services device

2020 ◽  
Vol 6 (4) ◽  
pp. 239-242
Author(s):  
Robert Michael O'Connell ◽  
Ishwarya Balasubramanian ◽  
Fionn Barron ◽  
Chris Kelly ◽  
Eoin O'Brien ◽  
...  
Keyword(s):  
Real Time ◽  
Mean Difference ◽  
Active Management ◽  
Time Of Arrival ◽  
Patient Journey ◽  
Location Services ◽  
Novel Approach ◽  
End Times ◽  
Theatre Utilisation ◽  
Utilisation Data

IntroductionInefficient theatre utilisation is costly for patients, staff and healthcare organisations. Active management projects have proven effective at identifying and streamlining delays in the perioperative patient journey.AimThe aim of this study is to assess whether a novel, wearable, autonomous, Wi-Fi-based real-time location services (RTLS) device could be used to accurately record and process theatre utilisation data.MethodsA novel RTLS device was employed in our theatre department between June and September 2017. Data were collected pertaining to time of arrival and departure from the surgical day ward, operating theatre and recovery using this device, and compared with our institution’s existing written record of theatre data.Results101 patients were enrolled, but manually recorded data were unavailable on 18 patients. Among the remaining 83 patients, mean difference in recorded start times was 0.43 min (p=0.64). Mean difference in theatre end times was 1.63 min (p=0.41). Mean difference recorded in overall time in theatre was 1.19 min (p=0.59).ConclusionThe RTLS device provided a reliable record of theatre utilisation, without requiring manual input, with potential as a tool to identify and improve inefficiencies in the theatre department.

scholarly journals A Bayesian parameter estimation approach to pulsar time-of-arrival analysis

2011 ◽  
Vol 28 (5) ◽  
pp. 055001 ◽  
Author(s):  
C Messenger ◽  
A Lommen ◽  
P Demorest ◽  
S Ransom
Keyword(s):  
Parameter Estimation ◽  
Time Of Arrival ◽  
Bayesian Parameter Estimation ◽  
Pulsar Time

scholarly journals A Bayesian Filtering Approach for Error Mitigation in Ultra-Wideband Ranging

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 440 ◽  
Author(s):  
Jing Xin ◽  
Kaiyuan Gao ◽  
Mao Shan ◽  
Bo Yan ◽  
Ding Liu
Keyword(s):  
Real Time ◽  
Ultra Wideband ◽  
Line Of Sight ◽  
Time Of Arrival ◽  
Indoor Environments ◽  
Bayesian Filtering ◽  
Tracking Accuracy ◽  
Noise Characteristics ◽  
Error Mitigation ◽  
Filtering Approach

Ultra-wideband (UWB) sensors have been widely used in multi-robot systems for cooperative tracking and positioning purposes due to their advantages such as high ranging accuracy and good real-time performance. In order to reduce the influence of non-line-of-sight (NLOS) UWB communication caused by the presence of obstacles on ranging accuracy in indoor environments, the paper proposes a novel Bayesian filtering approach for UWB ranging error mitigation. Nonparametric UWB sensor models, namely received signal strength (RSS) model and time of arrival (TOA) model, are constructed to capture the probabilistic noise characteristics under the influence of different obstruction conditions and materials within a typical indoor environment. The proposed Bayesian filtering approach can be used either as a standalone error mitigation approach for peer-to-peer (P2P) ranging, or as a part of a higher level Bayesian state estimation framework. Experiments were conducted to validate and evaluate the proposed approach in two configurations, i.e., inter-robot ranging, and mobile robot tracking in a wireless sensor network. The experimental results show that the proposed method can accurately identify the line-of-sight (LOS) and NLOS scenarios with wood and metal obstacles in a probabilistic representation and effectively improve the ranging/tracking accuracy. In addition, the low computational overhead of the approach makes it attractive in real-time systems.

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