Results 11 to 20 of about 64,399 (240)

Frequency-difference sparse Bayesian learning for unambiguous direction-of-arrival estimation [PDF]

open access: yesJASA Express Letters
The frequency-difference (FD) method uses the FD Hadamard product, comprising auto-products to model below-band acoustic fields and unintended cross-products, for efficient direction-of-arrival (DOA) estimation under spatial aliasing.
Ze Yuan   +3 more
doaj   +3 more sources

Direction-of-Arrival Estimation Based on Frequency Difference–Wavenumber Analysis for Sparse Vertical Array Configuration

open access: yesSensors, 2022
Frequency–wavenumber (f–k) analysis can estimate the direction of arrival (DOA) of broadband signals received on a vertical array. When the vertical array configuration is sparse, it results in an aliasing error due to spatial sampling; thus, several ...
Donghyeon Kim, Gihoon Byun, Jeasoo Kim
doaj   +3 more sources

Target localization method based on semi-definite relaxation with frequency difference of arrival

open access: yesDianxin kexue
The use of frequency measurements to achieve target positioning is characterized by low cost and high reliability. Using only frequency difference of arrival (FDOA) measurements, a precise localization method for static target position was proposed.
MAO Xiaoting, WU Xiaoping
doaj   +3 more sources

Time‐difference‐of‐arrival and frequency‐difference‐of‐arrival estimation for signals with partially known waveform

open access: yesIET Signal Processing, 2023
Abstract In many passive localization applications, the reference waveform of the received electromagnetic signals is partly known. The received signals in such scenarios are formulated by modelling the relationship between the received data and the known reference signal waveform and the parameters of interest, such as time ...
Yan Liu   +3 more
openaire   +1 more source

On optimality of multidimensional scaling for time differences of arrival/frequency differences of arrival based moving source localisation

open access: yesIET Signal Processing, 2022
Abstract Multidimensional scaling (MDS) is an attractive technique for a moving source localisation from time and frequency difference of arrival (time differences of arrival (TDOA)/frequency differences of arrival (FDOA)) measurements.
He-Wen Wei, Fei Wen 0005, Jian Cheng
openaire   +1 more source

Orthogonal frequency division multiplexing‐based time difference of arrival estimation [PDF]

open access: yesIET Communications, 2019
This study presents a spectral approach to estimate the time difference of arrival (TDOA) between a reference unit, composed of a pair of very close antennas (small baseline regarding the operating bandwidth), acting as a known fixed location transmitter, and a mobile unit acting as a single antenna receiver. It uses the channel frequency response (CFR)
Abudabbousa, Ahmed   +2 more
openaire   +3 more sources

Multi-Frequency Phase Difference of Arrival for Precise Localization in Narrowband LPWA Networks

open access: yesICC 2021 - IEEE International Conference on Communications, 2021
In Low Power Wide Area (LPWA) networks, radio localization based on Time Difference of Arrival measurements has major benefits: energy consumption of the node and spectrum usage are contained. Temporal resolution and hence positioning accuracy is however limited by the bandwidth of the LPWA narrowband signals.
Wolf, Florian   +4 more
openaire   +2 more sources

A Bias Compensation Method for Distributed Moving Source Localization Using TDOA and FDOA with Sensor Location Errors

open access: yesSensors, 2018
Current bias compensation methods for distributed localization consider the time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements noise, but ignore the negative influence by the sensor location uncertainties on source ...
Zhixin Liu, Rui Wang, Yongjun Zhao
doaj   +1 more source

A Multi-Pulse Cross Ambiguity Function for the Wideband TDOA and FDOA to Locate an Emitter Passively

open access: yesRemote Sensing, 2022
The time difference of arrival (TDOA) and frequency difference of arrival (FDOA) between two receivers are widely used to locate an emitter. Algorithms based on cross ambiguity functions can simultaneously estimate the TDOA and FDOA accurately.
Yuqi Wang   +5 more
doaj   +1 more source

Interval analysis-based Bi-iterative algorithm for robust TDOA-FDOA moving source localisation

open access: yesInternational Journal of Distributed Sensor Networks, 2021
In this study, an interval extension method of a bi-iterative is proposed to determine a moving source. This method is developed by utilising the time difference of arrival and frequency difference of arrival measurements of a signals received from ...
Ningning Qin   +3 more
doaj   +1 more source

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