Results 11 to 20 of about 1,673 (220)
Geolocation with FDOA measurements via polynomial systems and RANSAC [PDF]
2018 IEEE Radar Conference (RadarConf18), 2018 This work has been submitted to the IEEE for possible ...
Cameron, Karleigh J., Bates, Daniel J.
openaire +3 more sources
Performance Analysis of TDOA and FDOA Estimation for Pulse Signals
International Journal of Antennas and Propagation, 2022 Time difference of arrival (TDOA) and frequency difference of arrival (FDOA) are effective measurements for localizing emitters’ radiating pulse signals, such as radar.
Yan Liu, Fucheng Guo
doaj +2 more sources
Multiple Signal TDOA/FDOA Joint Estimation with Coherent Integration
Electronics, 2023 Passive localization relies significantly on the estimation of the Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) to accurately determine the location of a target. The precision of TDOA and FDOA estimation is affected by signal parameters of time and frequency distribution.
Xinxin Ouyang, Shanfeng Yao, Qun Wan
openaire +2 more sources
Joint localization algorithm of TDOA and FDOA considering the position error of underwater sensors
IET Radar, Sonar & Navigation, 2022 The joint localization method of TDOA and FDOA is widely used because it can estimate the underwater moving source well. Usually, a two‐step weighted least squares (TSWLS) algorithm is used to estimate the source. However, the noise square term is always
Tianci Meng, Zhenkai Zhang, Yunhang Lin
doaj +2 more sources
Geolocation a known‐altitude moving source by TDOA and FDOA measurements
Electronics Letters, 2022 Source altitude information, if known or can be measured by an altimeter, can greatly improve localisation performance. In this letter, a novel algebraic solution for known‐altitude moving source geolocation using time difference of arrival and frequency
Yuhao Pei, Guizhou Wu, Fucheng Guo
doaj +2 more sources
A Bias Compensation Method for Distributed Moving Source Localization Using TDOA and FDOA with Sensor Location Errors [PDF]
Sensors, 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 +2 more sources
A Co-Localization Algorithm for Underwater Moving Targets with an Unknown Constant Signal Propagation Speed and Platform Errors [PDF]
SensorsUnderwater mobile acoustic source target localization encounters several challenges, including the unknown propagation speed of the source signal, uncertainty in the observation platform’s position and velocity (i.e., platform systematic errors), and ...
Yang Liu +4 more
doaj +2 more sources
Complex & Intelligent SystemsThe aim of this study is to address the issue of TDOA/FDOA measurement accuracy in complex underwater environments, which is affected by multipath effects and variations in water sound velocity induced by the challenging nature of the underwater ...
Duo Peng, Ming Shuo Liu, Kun Xie
doaj +2 more sources
Cogent EngineeringThe problem of moving target localization from range and velocity difference measurements has attracted considerable attention in recent years. In this article, a novel weighted multidimensional scaling (MDS) algorithm is proposed to estimate the ...
Hesham Ibrahim Ahmed
doaj +2 more sources
FDOA-based passive source localization: a geometric perspective [PDF]
, 2018 We consider the problem of passively locating the source of a radio-frequency signal using observations by several sensors. Received signals can be compared to obtain time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements. The geometric relationship satisfied by these measurements allow us to make inferences about the
Cameron, Karleigh J., author +4 more
openaire +3 more sources