DS-UWB indoor positioning system implementation based on FPGAs

García, Enrique; Poudereux, Pablo; Hernández, Álvaro; Garcı́a, J.J.; Ureña, J.

doi:10.1016/j.sna.2013.06.019

Cited by 21 publications

(11 citation statements)

References 9 publications

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“…The UWB platform proposed in [17] is an asynchronous DS-UWB indoor positioning system developed with Commercial Off-The-Shelf (COTS) components. It is formed by N = 4 emitting beacons placed on the ceiling of a highly complex environment and a receiver that works out its position.…”

Section: Uwb Platformmentioning

confidence: 99%

“…For more implementation details, refer to [17]. Under this complex conditions, the UWB platform described in [17] has a poor performance.…”

Section: Uwb Platformmentioning

confidence: 99%

“…For more implementation details, refer to [17]. Under this complex conditions, the UWB platform described in [17] has a poor performance. Here we will provide robustness to this UWB indoor positioning system to work precisely under harsh environments by deriving an NLOS detection/mitigation algorithm.…”

Section: Uwb Platformmentioning

confidence: 99%

“…In this work we improve the positioning accuracy of an UWB indoor positioning system presented in [17] by using an NLOS detection and mitigation algorithm. We propose the use of the skewness of the estimated channel impulse response as a parameter to detect the NLOS condition and an Extended Kalman Filter for accurately positioning in harsh environments.…”

Section: Introductionmentioning

confidence: 99%

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A robust UWB indoor positioning system for highly complex environments

García

Poudereux

Hernández

et al. 2015

2015 IEEE International Conference on Industrial Technology (ICIT)

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Ultra-Wideband (UWB) has a high interest in research and industry for accurate indoor positioning. This technology comprises signals with a bandwidth of at least 500 MHz at a power decay of -10dB. This large bandwidth conferes the capability of resolving multipath, penetrating through obstacles and accurate ranging. However, NLOS (Non-Line-Of-Sight) conditions produced by obstacles in indoor environments severely degrade performance, as they introduce a positive bias in ranging estimation. In this paper we present a robust UWB indoor positioning which is able to accurately operate in a highly complex indoor scenario, where NLOS condition is predominant. For that purpose, the system uses a NLOS detection algorithm based on the skewness of the estimated channel impulse response and it mitigates NLOS by using an Extended Kalman Filter. The use of this detection/mitigation algorithm shows an improvement of the RMSE in positioning about 67%.

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Section: Uwb Platformmentioning

confidence: 99%

“…For more implementation details, refer to [17]. Under this complex conditions, the UWB platform described in [17] has a poor performance.…”

Section: Uwb Platformmentioning

confidence: 99%

Section: Uwb Platformmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A robust UWB indoor positioning system for highly complex environments

García

Poudereux

Hernández

et al. 2015

2015 IEEE International Conference on Industrial Technology (ICIT)

Self Cite

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“…In fact, a spectacular growth of studies about indoor location has been witnessed since RADAR [3] was proposed in 2000. The ubiquity of Wi-Fi Internet connectivity and smartphones make Wi-Fi-based positioning very popular [3,41,17,22,60,47,49,11,39,42], despite the diversity of the technologies available for indoor positioning: Radio-Frequency Identification (RFID) [33,51,9], Bluetooth [20,44], ZigBee [50], Ultrasound [30,26,55], Magnetic field variations [14,27], LED light [38,34], Ultra Wide Band [25,23], and Hybrid solutions [32], among others. The IPSs based on Wi-Fi fingerprinting techniques are preferred to those based on the propagation model, angle of arrival, time of arrival and time difference of arrival because they do not require any very specialized hardware, line-of-sight to the emitter, or knowledge about the precise location of radio emitters to operate [71,70].…”

Section: Introductionmentioning

confidence: 99%

A realistic evaluation of indoor positioning systems based on Wi-Fi fingerprinting: The 2015 EvAAL–ETRI competition

Torres-Sospedra

Moreira

Knauth

et al. 2017

AIS

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Abstract. This paper presents results from comparing different Wi-Fi fingerprinting algorithms on the same private dataset. The algorithms where realized by independent teams in the frame of the off-site track of the EvAAL-ETRI Indoor Localization Competition which was part of the Sixth International Conference on Indoor Positioning and Indoor Navigation (IPIN 2015). Competitors designed and validated their algorithms against the publicly available UJIIndoorLoc database which contains a huge reference-and validation data set. All competing systems were evaluated using the mean error in positioning, with penalties, using a private test dataset. The authors believe that this is the first work in which Wi-Fi fingerprinting algorithm results delivered by several independent and competing teams are fairly compared under the same evaluation conditions. The analysis also comprises a combined approach: Results indicate that the competing systems where complementary, since an ensemble that combines three competing methods reported the overall best results.

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