Willow Catkin Optimization Algorithm Applied in the TDOA-FDOA Joint Location Problem [PDF]
Entropy, 2023 The heuristic optimization algorithm is a popular optimization method for solving optimization problems. A novel meta-heuristic algorithm was proposed in this paper, which is called the Willow Catkin Optimization (WCO) algorithm.
Hongmei Yang +2 more
exaly +5 more sources
Joint TDOA, FDOA and PDOA Localization Approaches and Performance Analysis
Remote Sensing, 2023 Multi-station joint localization has important practical significance. In this paper, phase difference of arrival (PDOA) information is introduced into the joint time difference of arrival (TDOA) and frequency difference of arrival (FDOA) localization ...
Jinzhou Li, Sheng Wu, Liujie Lv
exaly +4 more sources
Bayesian FDOA Positioning with Correlated Measurement Noise
Remote SensingIn this paper, the problem of source localization using only frequency difference of arrival (FDOA) measurements is considered. A new FDOA-only localization technique is developed to determine the position of a narrow-band source.
Le Yang, Fucheng Guo
exaly +4 more sources
A Multi-Pulse Cross Ambiguity Function for the Wideband TDOA and FDOA to Locate an Emitter Passively
Remote 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.
Xing Mengdao +2 more
exaly +4 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 +3 more sources
High-Precision Joint TDOA and FDOA Location System
Remote SensingPassive location based on TDOA (time difference of arrival) and FDOA (frequency difference of arrival) is the mainstream method for target localization. This paper proposes a fast time–frequency difference positioning method to address issues such as low
Yinghui Quan +2 more
exaly +4 more sources
Emitter Location Using Frequency Difference of Arrival Measurements Only [PDF]
Sensors, 2022 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 fine Doppler resolution. For instance, while using the cross-ambiguity function
Mohamed Khalaf-Allah
doaj +2 more sources
Bias-Reduced Localization for Drone Swarm Based on Sensor Selection [PDF]
SensorsTo address the problem of accurate localization of high-speed drone swarm intrusions, this paper adopts time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements, aiming to improve the performance of estimating the motion ...
Bo Wu +4 more
doaj +2 more sources
3D moving target tracking with measurement fusion of TDoA/FDoA/AoA
ICT Express, 2019 In this paper, we investigate the tracking of the 3D moving target when multiple measurements are available. We propose a particle filter-based 3D target tracking algorithm with measurement of time difference of arrival (TDoA), frequency difference of ...
Hyowon Kim, Jeongwan Kang, Sunwoo Kim
exaly +3 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