TDoA based UAV Localization using Dual-EKF Algorithm
نویسندگان
چکیده
Most UAV(unmaned aerial vehicle) systems use GPS signals only to locate the emitter’s position. However GPS signals contain unwanted information contaminated by environmental components and many interference signals. In this paper, to obtain TDoA signal, we use two UAVs which are equipped with embedded wireless sensors. Under the real geolocation circumstance, it is very difficult to estimate the emitter’s position exactly due to environmental noise. In this paper we use the dual-EKF algorithm to obtain the optimal estimation of state values and unknown parameters. The dual-EKF algorithm overcomes the weakness of EKF algorithm which has been widely used in geolocation problem. The performance of our proposed algorithm will be demonstrated through some simulations of UAVs.
منابع مشابه
Jamming emitter localization with multiple UAVs equipped with smart antennas
This paper presents a wideband jamming emitter localization method based on the fusion of multiple direction-ofarrivals (DOAs) and time-difference-of-arrival(s) (TDOA(s)) obtained from multiple unmanned-aerial-vehicles (UAVs). In this technique, we assume that multiple trajectory controllable UAVs are available and they are equipped with smart antennas to estimate the emitter’s angle (DOA) with...
متن کاملGaussian Mixture (GM) Passive Localization using Time Difference of Arrival (TDOA)
This paper describes the passive emitter localization using Time Difference of Arrival (TDOA) measurements. It investigates various methods for estimating the solution of this nonlinear problem: the Maximum Likelihood Estimation (ML) as a batch algorithm, the Extended Kalman Filter (EKF) as an analytical approximation, the Unscented Kalman Filter (UKF) as a deterministic sampling approach and f...
متن کاملAn Ultra-Wideband-based Multi-UAV Localization System in GPS-denied environments
This paper presents a technique for multiUAV localization using ranging measurements from Two-Way Time-Of-Flight Ultra-Wideband (UWB) transceivers. In continuation with our previous work, the use of the Extended Kalman Filter (EKF) estimate is extended by fusing with other sensors to achieve a usable altitude estimate. Besides EKF, another method based on Non-linear Regression (NLR) is also dev...
متن کاملOn the Consistency Analyzing of A-SLAM for UAV Navigating in GNSS Denied Environment
In this paper, EKF Based A-SLAM concept is discussed in detail by presenting the formulas and MATLAB Simulink model, along with results. The UAV kinematic model and state-observation models for the EKF Based A-SLAM are developed to analyze the consistency. The covariance value caused by the EKF structure is analyzed. This value was calculated by filtering with error between the UAV’s actual and...
متن کاملAutonomous Tracking of Intermittent RF Source Using a UAV Swarm
Localization of a radio frequency (RF) transmitter with intermittent transmissions is considered via a group of unmanned aerial vehicles (UAVs) equipped with omnidirectional received signal strength (RSS) sensors. This group embarks on an autonomous patrol to localize and track the target with a specified accuracy, as quickly as possible. The challenge can be decomposed into two stages: 1) esti...
متن کامل