摘要 :
Internet of Things (IoT) has been scaling up over the last few years in multiple applications and due to the need for geolocation and tracking capabilities, the usage of traditional Time Difference of Arrival (TDOA) arises. In thi...
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Internet of Things (IoT) has been scaling up over the last few years in multiple applications and due to the need for geolocation and tracking capabilities, the usage of traditional Time Difference of Arrival (TDOA) arises. In this paper, a novel methodology for localizing using TDoA is presented, after the detailed and complete description of the TDoA has been provided. This proposed method depends on the hyperbolic functions to localize the node on a hyperbola, rather than locating it in a free position in the space potentially suffering from the influence of the timestamp imperfections. Thus, the proposed approach is finding this location on a hyperbola at a point which has the minimum Euclidean distance to all the other hyperbolas. A comparison is performed investigating the attainable accuracies for localizing based on this parametric TDoA and the classical TDoA method, on a well-defined simulation environment. The simulator is based on a Poisson distribution approach for defining the gateways and the node topology, as well as a noise model for emulating the oscillator drift at the gateways. In the given results, the feasibility of the proposed technique is asserted by a drastic improvement over a wide range of drift variances and the number of gateways. This manifests the robustness of the contributed method to the outlier timestamps and its optimum rendering, especially when the number of gateways is expected to be increased in the future.
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摘要 :
Internet of Things (IoT) has been scaling up over the last few years in multiple applications and due to the need for geolocation and tracking capabilities, the usage of traditional Time Difference of Arrival (TDOA) arises. In thi...
展开
Internet of Things (IoT) has been scaling up over the last few years in multiple applications and due to the need for geolocation and tracking capabilities, the usage of traditional Time Difference of Arrival (TDOA) arises. In this paper, a novel methodology for localizing using TDoA is presented, after the detailed and complete description of the TDoA has been provided. This proposed method depends on the hyperbolic functions to localize the node on a hyperbola, rather than locating it in a free position in the space potentially suffering from the influence of the timestamp imperfections. Thus, the proposed approach is finding this location on a hyperbola at a point which has the minimum Euclidean distance to all the other hyperbolas. A comparison is performed investigating the attainable accuracies for localizing based on this parametric TDoA and the classical TDoA method, on a well-defined simulation environment. The simulator is based on a Poisson distribution approach for defining the gateways and the node topology, as well as a noise model for emulating the oscillator drift at the gateways. In the given results, the feasibility of the proposed technique is asserted by a drastic improvement over a wide range of drift variances and the number of gateways. This manifests the robustness of the contributed method to the outlier timestamps and its optimum rendering, especially when the number of gateways is expected to be increased in the future.
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摘要 :
Time difference of arrival (TDOA) point positioning in the Cartesian coordinates is practical for a near-field source, and it will suffer from the thresholding effect when the source is in the far-field where only direction of arr...
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Time difference of arrival (TDOA) point positioning in the Cartesian coordinates is practical for a near-field source, and it will suffer from the thresholding effect when the source is in the far-field where only direction of arrival (DOA) can be obtained. Localization in the modified polar representation (MPR) is able to alleviate this problem, where point positioning and DOA estimation are unified into a single framework. The state-of-the-art literature only has an iterative realization of the maximum likelihood estimator (MLE) for this problem. This paper develops an algebraic closed-form positioning solution for MPR. The proposed algorithm avoids the initialization issue and is much more computationally efficient than the MLE with comparable accuracy. Simulation results validate the advocated performance.
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摘要 :
Human being has the capability to determine the sound source location because of sound waves difference received by the ear. The method applied to determine the humans source location in this research was Time Difference of Arriva...
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Human being has the capability to determine the sound source location because of sound waves difference received by the ear. The method applied to determine the humans source location in this research was Time Difference of Arrival Estimation (TDOA) at a sampling rate of 6 KHz. The results of tests found that the system can determine the human voice source location in semicircle (0
0
- 180
0
), with the best angular resolution was at 10
0
. The results of this study can be applied to the teleconference room.
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摘要 :
Human being has the capability to determine the sound source location because of sound waves difference received by the ear. The method applied to determine the humans source location in this research was Time Difference of Arriva...
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Human being has the capability to determine the sound source location because of sound waves difference received by the ear. The method applied to determine the humans source location in this research was Time Difference of Arrival Estimation (TDOA) at a sampling rate of 6 KHz. The results of tests found that the system can determine the human voice source location in semicircle (0
0
- 180
0
), with the best angular resolution was at 10
0
. The results of this study can be applied to the teleconference room.
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摘要 :
Local positioning, particularly in indoor environments, poses challenges that are not faced by global and terrestrial positioning systems. Many a times, it is cost effective to build these localization schemes on the existing wire...
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Local positioning, particularly in indoor environments, poses challenges that are not faced by global and terrestrial positioning systems. Many a times, it is cost effective to build these localization schemes on the existing wireless local area networks (WLANs). In that direction, a time-of-arrival (TOA) estimation based on the “distorted template”[1], which is obtained by convolving the clean template with the channel estimate, was proposed in our earlier work. In this paper, the scheme is further examined for different channel estimation techniques. Towards the direction of designing a complete system, the differential time difference of arrival (DTDOA) synchronization scheme is analyzed and based on the analysis, guidelines for positioning the access points is also provided.
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摘要 :
Local positioning, particularly in indoor environments, poses challenges that are not faced by global and terrestrial positioning systems. Many a times, it is cost effective to build these localization schemes on the existing wire...
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Local positioning, particularly in indoor environments, poses challenges that are not faced by global and terrestrial positioning systems. Many a times, it is cost effective to build these localization schemes on the existing wireless local area networks (WLANs). In that direction, a time-of-arrival (TOA) estimation based on the "distorted template"[1], which is obtained by convolving the clean template with the channel estimate, was proposed in our earlier work. In this paper, the scheme is further examined for different channel estimation techniques. Towards the direction of designing a complete system, the differential time difference of arrival (DTDOA) synchronization scheme is analyzed and based on the analysis, guidelines for positioning the access points is also provided.
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摘要 :
This paper propose an acceleration method of Compressed Sensing by both Kronecker product and zero element removal in estimation of both DOA and TOA. Numerical results show that the calculation time is greatly reduced is by proposed method.
摘要 :
This paper propose an acceleration method of Compressed Sensing by both Kronecker product and zero element removal in estimation of both DOA and TOA. Numerical results show that the calculation time is greatly reduced is by proposed method.
摘要 :
The time-of-arrival (TOA) estimation of pulse signals is widelyused in radar, sonar and other sensor systems for geo-locating targets. This paper presents a new estimator for the TOA and width (W) of a pulse. Three auto-convolutio...
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The time-of-arrival (TOA) estimation of pulse signals is widelyused in radar, sonar and other sensor systems for geo-locating targets. This paper presents a new estimator for the TOA and width (W) of a pulse. Three auto-convolutions of a full and partial pulse determine the location of three convolution peaks. These peak locations are given by linear equations that contain as unknowns TOA and W. Solving these equations yields estimates of the pulse parameters. Simulation results show the performance of the estimator in noise and are compared with results obtained using an existing estimator.
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