Localization of sensor nodes in wireless sensor networks using bat optimization algorithm with enhanced exploration and exploitation characteristics
Wireless sensor networks (WSNs) contain sensor nodes in enormous amount to accumulate
the information about the nearby surroundings, and this information is insignificant until the …
the information about the nearby surroundings, and this information is insignificant until the …
Creating speech zones with self-distributing acoustic swarms
Imagine being in a crowded room with a cacophony of speakers and having the ability to
focus on or remove speech from a specific 2D region. This would require understanding and …
focus on or remove speech from a specific 2D region. This would require understanding and …
Robust localization under NLOS environment in the presence of isolated outliers by full-Set TDOA measurements
Y Wang, KC Ho, Z Wang - Signal Processing, 2023 - Elsevier
Different from the traditional approach of using the reduced set of time-difference-of-arrival
(TDOA) measurements, localization by the full TDOA set is discussed here. It avoids …
(TDOA) measurements, localization by the full TDOA set is discussed here. It avoids …
The geometry of far-field passive source localization with TDOA and FDOA
KC Pine, S Pine, M Cheney - IEEE Transactions on Aerospace …, 2021 - ieeexplore.ieee.org
Passive localization of acoustic or radio-frequency sources is often performed using time-
difference-of-arrival (TDOA) measurements and/or frequency-difference-of-arrival (FDOA) …
difference-of-arrival (TDOA) measurements and/or frequency-difference-of-arrival (FDOA) …
A geometrical–statistical approach to outlier removal for TDOA measurements
M Compagnoni, A Pini, A Canclini… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
The curse of outlier measurements in estimation problems is a well-known issue in a variety
of fields. Therefore, outlier removal procedures, which enables the identification of spurious …
of fields. Therefore, outlier removal procedures, which enables the identification of spurious …
Development of highly sensitive fiber-optic acoustic sensor and its preliminary application for sound source localization
G Wu, L Xiong, Z Dong, X Liu, C Cai, Z Qi - Journal of Applied Physics, 2021 - pubs.aip.org
A metal diaphragm-based omnidirectional fiber-optic acoustic sensor with high sensitivity
has been developed in this work. The acousto-optic transducer of the sensor is a single …
has been developed in this work. The acousto-optic transducer of the sensor is a single …
TDOA matrices: Algebraic properties and their application to robust denoising with missing data
Measuring the time delay of arrival (TDOA) between a set of sensors is the basic setup for
many applications, such as localization or signal beamforming. This paper presents the set …
many applications, such as localization or signal beamforming. This paper presents the set …
A modified cross-correlation algorithm to achieve the time difference of arrival in sound source localization
N Zhu, T Reza - Measurement and Control, 2019 - journals.sagepub.com
The accuracy in ranging and direction in locating a target source is crucial in sound source
localization and different methods have been proposed due to important applications of …
localization and different methods have been proposed due to important applications of …
Geolocation with FDOA measurements via polynomial systems and RANSAC
KJ Cameron, DJ Bates - 2018 IEEE Radar Conference …, 2018 - ieeexplore.ieee.org
The problem of geolocation of a radio-frequency transmitter via time difference of arrival
(TDOA) and frequency difference of arrival (FDOA) is given as a system of polynomial …
(TDOA) and frequency difference of arrival (FDOA) is given as a system of polynomial …
Emitter Location Using Frequency Difference of Arrival Measurements Only
M Khalaf-Allah - Sensors, 2022 - mdpi.com
It is desirable to enable emitter location using frequency difference of arrival (FDoA)
measurements only, since many signals are characterized by coarse range resolution and …
measurements only, since many signals are characterized by coarse range resolution and …