Indoor GPS positioning using a slowly moving antenna and long coherent integration

Gowdayyanadoddi, Naveen S.; Broumandan, Ali; Lachapelle, G.; Curran, James T.

doi:10.1109/icl-gnss.2015.7217148

Cited by 9 publications

(4 citation statements)

References 10 publications

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“…Even if the signals from a satellite are detected indoors, poor signal-strength, multi-path effects as well as lack of visible satellites can cause computing inaccurate distance from the satellite, leading to the estimated location far from the true location [4], [6], [7]. Although there exist multiple ways to enhance the signal strength, such as cloud-offloaded instant GPS [4] and longer coherent integration [8], they usually require additional costly computing and equipment. Therefore, the GNSS based positioning is not an appropriate choice for indoor environment, especially for large buildings.…”

Section: Introductionmentioning

confidence: 99%

Feature Fusion Using Stacked Denoising Auto-Encoder and GBDT for Wi-Fi Fingerprint-Based Indoor Positioning

Zhang

et al. 2020

IEEE Access

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It may be very difficult to receive the signals from satellite positioning systems due to the existing obstacles in indoor environment. Arising from the popularity of smart phones, Wi-Fi based indoor positioning technology has the advantages with convenient deployment and low hardware cost. In this study, we focused on indoor positioning using Wi-Fi fingerprint data that were collected in shopping malls. Due to the volatility of Wi-Fi signals and the high-dimensional sparseness of fingerprint data, we proposed a feature extraction algorithm, called joint multi-task stacked denoising auto-encoder (JMT-SDAE), aiming at reducing the dimensionality of the original fingerprint data and improving the indoor positioning performance in shopping malls. Furthermore, the features extracted by JMT-SDAE and gradient boosting decision tree (GBDT) were merged to construct a hybrid model, named as JMT-SDAE+GBDT. The experimental results based on 13 location datasets showed that the proposed feature fusion model had better positioning accuracy when compared with other existing positioners, and thus confirmed the effectiveness of our proposed feature extraction algorithm through multi-task learning. INDEX TERMS Indoor positioning, Wi-Fi fingerprint, feature fusion, stacked denoising auto-encoder, multi-task learning, gradient boosting decision tree.

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Section: Introductionmentioning

confidence: 99%

Feature Fusion Using Stacked Denoising Auto-Encoder and GBDT for Wi-Fi Fingerprint-Based Indoor Positioning

Zhang

et al. 2020

IEEE Access

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“…A trend in recent years is to ensure indoor location systems including self-sufficient robot management (Wang et al 2016;Prorok and Martinoli 2011), position identification (Chen et al 2016), and location-based services (Shin et al 2015;Bordel et al 2017;Ishida et al 2016). For instance, there are several localization and positioning systems proposed in the literature, such as those based on GPS (Gowdayyanadoddi et al 2015), RFID (Zhao et al 2017), infrared (Vidal and Lin 2016), ultrasound (Hammoud et al 2016), WLAN (Khalajmehrabadi et al 2016), Bluetooth (Gu and Ren 2015) and other approaches (Yassin et al 2016). However, GPS may not be fit-for-purpose in indoor situations due to multipath fading (e.g., caused by objects and surfaces) and power attenuation.…”

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confidence: 99%

A fuzzy-PSO system for indoor localization based on visible light communications

et al. 2018

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Indoor positioning systems using Visible Light Communication (VLC) have potential applications in smart buildings, for instance, in developing economical, easy-touse, widely accessible positioning system based on Light Emitting Diodes (LEDs). Thus using VLCs, we introduce a new fuzzy-based system for indoor localization in this paper. The system processes data from transmitters (i.e., anchor nodes) and delivers the calculated position of a receiver. A Particle Swarm Optimization (PSO) technique is then employed to obtain the optimal configuration of the proposed Fuzzy Logic Controllers (FLCs). Specifically, the proposed PSO technique optimizes the membership functions of the FLCs by adjusting their range to achieve the best results regarding the localization reliability. We demonstrate the utility of the proposed approach using experiments.

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“…By introducing slow movement in the antenna, in an indoor scenario the frequency separation between direct and reflected signals is increased to improve position accuracy [11]. Due to the variety of possible multipath environments, it is not practically possible to collect and process data in all such scenarios.…”

Section: Introductionmentioning

confidence: 99%

“…The separation of direct and reflected signals in that domain is studied in [10,11]. The advantages of the frequency domain approach are that it may separate or resolve the direct and multiple reflected signals and allows one to estimate the power, delay, and phase of each reflected signal independently.…”

Section: Introductionmentioning

confidence: 99%

A Ray-Tracing Technique to Characterize GPS Multipath in the Frequency Domain

Gowdayyanadoddi

Curran

Broumandan

2015

International Journal of Navigation and Observation

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Multipath propagation is one of the major sources of error in GPS measurements. In this research, a ray-tracing technique is proposed to study the frequency domain characteristics of multipath propagation. The Doppler frequency difference, also known as multipath phase rate and fading frequency, between direct (line-of-sight, LOS) and reflected (non-line-of-sight, NLOS) signals is studied as a function of satellite elevation and azimuth, as well as distance between the reflector and the static receiver. The accuracy of the method is verified with measured Doppler differences from real data collected in a downtown environment. The use of ray-tracing derived predicted Doppler differences in a receiver, as a means of alleviating the multipath induced errors in the measurement, is presented and discussed.

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Indoor GPS positioning using a slowly moving antenna and long coherent integration

Cited by 9 publications

References 10 publications

Feature Fusion Using Stacked Denoising Auto-Encoder and GBDT for Wi-Fi Fingerprint-Based Indoor Positioning

Feature Fusion Using Stacked Denoising Auto-Encoder and GBDT for Wi-Fi Fingerprint-Based Indoor Positioning

A fuzzy-PSO system for indoor localization based on visible light communications

A Ray-Tracing Technique to Characterize GPS Multipath in the Frequency Domain

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