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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

Performance of the hybrid method in each iteration for different NLOS conditions, considering fingerprinting polygon size: 20 cm and signal sampling rate: 50 GHz.
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f10-sensors-12-11187: Performance of the hybrid method in each iteration for different NLOS conditions, considering fingerprinting polygon size: 20 cm and signal sampling rate: 50 GHz.

Mentions: The positioning accuracies for different cases using the proposed hybrid method can be increased by increasing the iteration number. However, as depicted in Figure 10, the accuracy does not increase beyond 4 or 5 iterations for various NLOS cases. Hence, setting a maximum iteration number beyond 4 or 5 would not be necessary. Moreover, in Figure 10, there is a wide gap between the RMSE performances of NLOS rates of 0.25 and 0.5. This is because we have a better positioning accuracy in the FP method using a polygon size of 20 cm when the NLOS rate is 0.25. Therefore, in hybrid positioning, RMSE for the case of a NLOS rate of 0.25 decreases and it is closer to the positioning accuracy of the case with LOS where the polygon size is 20 cm. Besides, we don't have better positioning accuracy for the case using a polygon size of 20 cm than the case of polygon size of 50 cm in the FP method while NLOS rate is 0.5. Therefore, in hybrid positioning, RMSE performances in each iteration for the case of NLOS rate of 0.5 are not good enough. Moreover, it is obvious that if we increase the number of test node samples in the FP method the positioning accuracy for the case of NLOS rate of 0.5 would also increase a bit.


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)

Performance of the hybrid method in each iteration for different NLOS conditions, considering fingerprinting polygon size: 20 cm and signal sampling rate: 50 GHz.
© Copyright Policy
Related In: Results  -  Collection

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

f10-sensors-12-11187: Performance of the hybrid method in each iteration for different NLOS conditions, considering fingerprinting polygon size: 20 cm and signal sampling rate: 50 GHz.
Mentions: The positioning accuracies for different cases using the proposed hybrid method can be increased by increasing the iteration number. However, as depicted in Figure 10, the accuracy does not increase beyond 4 or 5 iterations for various NLOS cases. Hence, setting a maximum iteration number beyond 4 or 5 would not be necessary. Moreover, in Figure 10, there is a wide gap between the RMSE performances of NLOS rates of 0.25 and 0.5. This is because we have a better positioning accuracy in the FP method using a polygon size of 20 cm when the NLOS rate is 0.25. Therefore, in hybrid positioning, RMSE for the case of a NLOS rate of 0.25 decreases and it is closer to the positioning accuracy of the case with LOS where the polygon size is 20 cm. Besides, we don't have better positioning accuracy for the case using a polygon size of 20 cm than the case of polygon size of 50 cm in the FP method while NLOS rate is 0.5. Therefore, in hybrid positioning, RMSE performances in each iteration for the case of NLOS rate of 0.5 are not good enough. Moreover, it is obvious that if we increase the number of test node samples in the FP method the positioning accuracy for the case of NLOS rate of 0.5 would also increase a bit.

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