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A hybrid TOA-fingerprinting based localization of mobile nodes using UWB signaling for Non-line-of-sight conditions.

Kabir MH, Kohno R - Sensors (Basel) (2012)

Bottom Line: However, the Non-line-of-sight (NLOS) error mitigation has considerable importance in localization of wireless nodes.In order to mitigate NLOS errors in indoor localization this paper proposes and investigates a novel approach which creates a hybrid combination of channel impulse response (CIR)-based fingerprinting (FP) positioning and an iterative Time of Arrival (TOA) real time positioning method using Ultra Wideband (UWB) signaling.The simulation results confirm that the proposed hybrid method yields better positioning accuracies and is much more robust in NLOS error mitigation than TOA only and FP only and a conventional iterative positioning method.

View Article: PubMed Central - PubMed

Affiliation: Division of Physics, Electrical and Computer Engineering, Yokohama National University, 79-5 Tokiwadai, Hodogaya, Yokohama 240-8501, Japan. kabir@kohnolab.dnj.ynu.ac.jp

ABSTRACT
Recently, Impulse Radio Ultra Wideband (IR-UWB) signaling has become popular for providing precise location accuracy for mobile and wireless sensor node localization in the indoor environment due to its large bandwidth and high time resolution while providing ultra-high transmission capacity. However, the Non-line-of-sight (NLOS) error mitigation has considerable importance in localization of wireless nodes. In order to mitigate NLOS errors in indoor localization this paper proposes and investigates a novel approach which creates a hybrid combination of channel impulse response (CIR)-based fingerprinting (FP) positioning and an iterative Time of Arrival (TOA) real time positioning method using Ultra Wideband (UWB) signaling. Besides, to reduce the calculation complexities in FP method, this paper also introduces a unique idea for the arrangement of reference nodes (or tags) to create a fingerprinting database. The simulation results confirm that the proposed hybrid method yields better positioning accuracies and is much more robust in NLOS error mitigation than TOA only and FP only and a conventional iterative positioning method.

No MeSH data available.


Related in: MedlinePlus

CDF of the distance errors for FP method (8a-c), Hybrid method (8d) in different cases with NLOS rate = 0.75.
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f8-sensors-12-11187: CDF of the distance errors for FP method (8a-c), Hybrid method (8d) in different cases with NLOS rate = 0.75.

Mentions: To evaluate the performance of the FP method for positioning of the same test nodes which are used in an iterative TOA positioning, we place the reference nodes (or tags) in such a manner to form polygon shapes (as mentioned in Section 2.2). We employ three different sizes of polygon, 20 cm, 30 cm and 50 cm and evaluate the positioning accuracy by varying signal's sampling rate (i.e., 30 GHz, 50 GHz and 80 GHz) for each case. Here, Figures 6–8 show cumulative distribution function (CDF) of distance errors (distance between estimated and real positions of test nodes) in the FP method for LOS cases as well as worst cases of NLOS. The NLOS rates shown in the figures are the ratios of the number of access points (AP)s experiencing NLOS among all APs. For instance, a NLOS rate of 0.5 means the half of the total number of APs are experiencing NLOS.


A hybrid TOA-fingerprinting based localization of mobile nodes using UWB signaling for Non-line-of-sight conditions.

Kabir MH, Kohno R - Sensors (Basel) (2012)

CDF of the distance errors for FP method (8a-c), Hybrid method (8d) in different cases with NLOS rate = 0.75.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3472879&req=5

f8-sensors-12-11187: CDF of the distance errors for FP method (8a-c), Hybrid method (8d) in different cases with NLOS rate = 0.75.
Mentions: To evaluate the performance of the FP method for positioning of the same test nodes which are used in an iterative TOA positioning, we place the reference nodes (or tags) in such a manner to form polygon shapes (as mentioned in Section 2.2). We employ three different sizes of polygon, 20 cm, 30 cm and 50 cm and evaluate the positioning accuracy by varying signal's sampling rate (i.e., 30 GHz, 50 GHz and 80 GHz) for each case. Here, Figures 6–8 show cumulative distribution function (CDF) of distance errors (distance between estimated and real positions of test nodes) in the FP method for LOS cases as well as worst cases of NLOS. The NLOS rates shown in the figures are the ratios of the number of access points (AP)s experiencing NLOS among all APs. For instance, a NLOS rate of 0.5 means the half of the total number of APs are experiencing NLOS.

Bottom Line: However, the Non-line-of-sight (NLOS) error mitigation has considerable importance in localization of wireless nodes.In order to mitigate NLOS errors in indoor localization this paper proposes and investigates a novel approach which creates a hybrid combination of channel impulse response (CIR)-based fingerprinting (FP) positioning and an iterative Time of Arrival (TOA) real time positioning method using Ultra Wideband (UWB) signaling.The simulation results confirm that the proposed hybrid method yields better positioning accuracies and is much more robust in NLOS error mitigation than TOA only and FP only and a conventional iterative positioning method.

View Article: PubMed Central - PubMed

Affiliation: Division of Physics, Electrical and Computer Engineering, Yokohama National University, 79-5 Tokiwadai, Hodogaya, Yokohama 240-8501, Japan. kabir@kohnolab.dnj.ynu.ac.jp

ABSTRACT
Recently, Impulse Radio Ultra Wideband (IR-UWB) signaling has become popular for providing precise location accuracy for mobile and wireless sensor node localization in the indoor environment due to its large bandwidth and high time resolution while providing ultra-high transmission capacity. However, the Non-line-of-sight (NLOS) error mitigation has considerable importance in localization of wireless nodes. In order to mitigate NLOS errors in indoor localization this paper proposes and investigates a novel approach which creates a hybrid combination of channel impulse response (CIR)-based fingerprinting (FP) positioning and an iterative Time of Arrival (TOA) real time positioning method using Ultra Wideband (UWB) signaling. Besides, to reduce the calculation complexities in FP method, this paper also introduces a unique idea for the arrangement of reference nodes (or tags) to create a fingerprinting database. The simulation results confirm that the proposed hybrid method yields better positioning accuracies and is much more robust in NLOS error mitigation than TOA only and FP only and a conventional iterative positioning method.

No MeSH data available.


Related in: MedlinePlus