Results 131 to 140 of about 12,770 (175)
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Multi-cycle estimator for time-difference-of-arrival (TDOA) and its performance
IEE Proceedings - Radar, Sonar and Navigation, 2006Single-cycle time-difference-of-arrival estimator utilises signal's cyclostationarity property of only one cycle frequency. A new approach exploiting the signal's cyclostationarity property of more than one cycle frequency is introduced. Compared with the single-cycle estimator, the method can reduce more estimation variance. The qualitative discussion
Z.-T. Huang, Y.-Y. Zhou
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2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2018
An intelligent system is proposed to locate and classify audio source signals in large spaces. The system is composed of a sparsely distributed microphone array and an artificial intelligence (AI) system. A sparse array aimed for acoustic source localization and signal extraction is configured.
Mingsian R. Bai +2 more
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An intelligent system is proposed to locate and classify audio source signals in large spaces. The system is composed of a sparsely distributed microphone array and an artificial intelligence (AI) system. A sparse array aimed for acoustic source localization and signal extraction is configured.
Mingsian R. Bai +2 more
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2025 IEEE Space, Aerospace and Defence Conference (SPACE)
In this paper, the problem of source localization using the frequency difference of arrival and time difference of arrival of a signal received at multiple receivers is investigated.
Dishita Singh
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In this paper, the problem of source localization using the frequency difference of arrival and time difference of arrival of a signal received at multiple receivers is investigated.
Dishita Singh
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2016 IEEE Wireless Communications and Networking Conference, 2016
In the past various solutions for localization evolved to productive usage for wireless applications. These solutions are robust, precise and energy efficient. However, scalability, complexity and flexibility are still open issues. Especially the supported number of objects or update rates for localization are still limiting factors for the usage of ...
Mathias Pelka, Horst Hellbruck
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In the past various solutions for localization evolved to productive usage for wireless applications. These solutions are robust, precise and energy efficient. However, scalability, complexity and flexibility are still open issues. Especially the supported number of objects or update rates for localization are still limiting factors for the usage of ...
Mathias Pelka, Horst Hellbruck
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A Geometric Model for Estimating Time Difference of Arrival (TDOA) Performance
AIAA Scitech 2021 Forum, 2021Thomas L. Frey, Sean Ford
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Time Difference of Arrival Estimation Based on a Kronecker Product Decomposition
IEEE Signal Processing Letters, 2021Time difference of arrival (TDOA) estimation, which often serves as the fundamental step for a source localization or a beamforming system, has a significant practical importance in a wide spectrum of applications.
Xianrui Wang +4 more
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Time Difference of Arrival Estimation of Stationary Targets Utilizing Deep Neural Network
Journal of Physics: Conference Series, 2022Time difference of arrival (TDOA) is widely used in the field of passive location because of its flexible base station deployment and simple principle. However, when solving the solution of stationary targets position, the traditional method, such as the
Wupeng Xie +4 more
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Enhanced gray wolf optimization for estimation of time difference of arrival in WSNs
International Journal of Pervasive Computing and Communications, 2022Purpose Intelligent prediction of node localization in wireless sensor networks (WSNs) is a major concern for researchers. The huge amount of data generated by modern sensor array systems required computationally efficient calibration techniques.
D. E, S. A.
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A Time Difference of Arrival Based Target Motion Analysis for Localization of Underwater Vehicles
IEEE Transactions on Vehicular Technology, 2021We present a non-convex, partially observable solution for underwater vehicle localization, referred to as the time difference of arrival target motion analysis (TD-TMA).
Talmon Alexandri, M. Walter, R. Diamant
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IEEE Sensors Journal, 2021
This paper discusses the application of the first peak and cumulative energy methods to calculate the time difference of arrival (TDOA) of UHF signals emitted by a partial discharge source in order to locate it.
G. Xavier +5 more
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This paper discusses the application of the first peak and cumulative energy methods to calculate the time difference of arrival (TDOA) of UHF signals emitted by a partial discharge source in order to locate it.
G. Xavier +5 more
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