Geolocation of a Known Altitude Target Using TDOA and GROA in the Presence of Receiver Location Uncertainty

Deng, Bing; Yang, Le; Sun, Zheng; Peng, Hua

doi:10.1155/2016/3293418

Cited by 4 publications

(2 citation statements)

References 24 publications

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“…Figure 2 shows the general diagram of the proposed model and architecture. In this study, we considered the fixed Earth-centered Earth-Fixed (ECEF) coordinates [42,43].…”

Section: Proposed Simulation Environmentmentioning

confidence: 99%

Quasi-Real RFI Source Generation Using Orolia Skydel LEO Satellite Simulator for Accurate Geolocation and Tracking: Modeling and Experimental Analysis

et al. 2022

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Accurate geolocation and tracking of Radio-Frequency Interference (RFI) sources, which affect wireless and satellite systems such as Global Navigation Satellite Systems (GNSS) and Satellite Communication (SatCom) systems, are considered to be a significant issue. Several studies connected to civil and military operations on this issue have been investigated recently. The literature review has surveyed many algorithm simulations for optimizing geolocation and target-tracking estimation. Although most of these algorithms have their own advantages, they have weaknesses, such as accuracy, mathematical complexity, difficulties in implementation, and validation in the real environment, etc. This study has been concerned with investigating the accuracy of geolocation and tracking under high speed and powerful rotation using extracted data from the Orolia Skydel simulator, which simulates the space environment involving Low Earth Orbit (LEO) satellites as sensors and Unmanned Aerial Vehicles (UAV) as RFI emitters. Various scenarios modeled using the Orolia Simulator for quasi-real dynamic trajectories of LEO satellites have been created. The assumed approaches have been verified by Cramer–Rao Lower Bound (CRLB) and Posterior CRLB (PCRLB) to determine the increase in Root Mean Square Error (RMSE) value. The simulation scenarios have been performed using the Monte Carlo iteration. Eventually, the overall achieved results of the considered approaches using data acquired from the Orolia Simulator were presented and compared with theoretical simulation.

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“…Figure 2 shows the general diagram of the proposed model and architecture. In this study, we considered the fixed Earth-centered Earth-Fixed (ECEF) coordinates [42,43].…”

Section: Proposed Simulation Environmentmentioning

confidence: 99%

Quasi-Real RFI Source Generation Using Orolia Skydel LEO Satellite Simulator for Accurate Geolocation and Tracking: Modeling and Experimental Analysis

et al. 2022

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“…Figure 1 illustrates the location distribution of the RFI source and i th sensor (satellite). This paper assumes the Euclidean space is two-dimensional (2D) under the fixed Earth-centred Earth-Fixed coordinates coordinates (ECEF) [12], [27]. The initial position/velocity…”

Section: Problem Formulationmentioning

confidence: 99%

Gauss Hermite H _∞ Filter for UAV Tracking Using LEO Satellites TDOA/FDOA Measurement—Part I

et al. 2020

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The precision geolocation and target tracking problem has been addressed in this paper using High-Degree Non-linear Filtering based on hybrid Time Difference of Arrival (TDOA), Frequency Difference of Arrival (FDOA) measurements using Low Earth Orbit (LEO) satellite with slant range. In order to update the noise covariance and estimation process at each measurement, the Gauss Hermite H ∞ Filter based on hybrid TDOA/FDOA geolocation measurements are proposed in this work. Numerous scenarios with the different rotation speed of Radio Frequency (RF) emitter has been considered. Multi LEO satellites have used to estimate and track the location of the unknown Unmanned Aerial Vehicle (UAV) under uncertainties of measurements. The uncertainties of measurements have been considered because the position and velocity of sensors are not fixed, which may affect the emitter location estimation measurements. The Cramer-Rao Lower Bound (CRLB) is used as a metric for measuring and analyzing the performance of the H ∞ /GHKF 3 rd degree and H ∞ /GHKF 5 th degree algorithm, as well as compare it with state-of-the-art algorithms. The simulation results of the proposed algorithm indicate that the significant improvement in performance for example, 10% based on TDOA, 40% for FDOA, and 50% on TDOA/FDOA have been achieved.

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A Closed-Form Solution for Moving Target Localization With Sphere Constraint

2019

IEEE Commun. Lett.

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Geolocation of a Known Altitude Target Using TDOA and GROA in the Presence of Receiver Location Uncertainty

Cited by 4 publications

References 24 publications

Quasi-Real RFI Source Generation Using Orolia Skydel LEO Satellite Simulator for Accurate Geolocation and Tracking: Modeling and Experimental Analysis

Quasi-Real RFI Source Generation Using Orolia Skydel LEO Satellite Simulator for Accurate Geolocation and Tracking: Modeling and Experimental Analysis

Gauss Hermite H _∞ Filter for UAV Tracking Using LEO Satellites TDOA/FDOA Measurement—Part I

A Closed-Form Solution for Moving Target Localization With Sphere Constraint

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Geolocation of a Known Altitude Target Using TDOA and GROA in the Presence of Receiver Location Uncertainty

Cited by 4 publications

References 24 publications

Quasi-Real RFI Source Generation Using Orolia Skydel LEO Satellite Simulator for Accurate Geolocation and Tracking: Modeling and Experimental Analysis

Quasi-Real RFI Source Generation Using Orolia Skydel LEO Satellite Simulator for Accurate Geolocation and Tracking: Modeling and Experimental Analysis

Gauss Hermite H ∞ Filter for UAV Tracking Using LEO Satellites TDOA/FDOA Measurement—Part I

A Closed-Form Solution for Moving Target Localization With Sphere Constraint

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Gauss Hermite H _∞ Filter for UAV Tracking Using LEO Satellites TDOA/FDOA Measurement—Part I