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Space capacity and safety of Airspace Surveillance Systems are regularly increasing to meet the demands of air traffic control. Researchers are interested in many directions like optimal sensors deployment, localization and tracking algorithms. Thus, a 2-D Multilateration algorithm is proposed to accurately identify the aircraft position. It is based on the classical Two Ray propagation model. Imp...Show More
In this paper, a particle swarm optimization (PSO) based multilateration algorithm is presented for a UWB communications based sensor network. The particle swarm uses simple operators and is a bottom-up approach for identifying the location in a 2D space. Hence the PSO uses less energy. For comparison we present two alternative approaches traditionally used for this problem. The first one is (a) t...Show More
Fast emerging wireless indoor positioning enables many location based services. However, fluctuation receive signal strength due to multipath propagation is a major challenge. Different Machine Learning (ML) approaches are attempted to improve the accuracy in indoor positioning. In this paper, a hybrid technique combining Recursive Least Square (RLS) with Artificial Neural Network (ANN) has been p...Show More
In a randomly deployed wireless sensor network, sensor nodes must determine their own geographic position coordinates so that the collected data can be ascribed to the location from where it was gathered. We propose a localization algorithm which uses variable range beacon signals generated by varying the transmission power of beacon nodes. The algorithm does not use any additional hardware resour...Show More
In multilateration, distances between an unknown location and several known points are used to determine the location of the unknown point. Papers on algorithms for multilateration, such as time of arrival (TOA), time difference of arrival (TDOA), and angle of arrival (AOA), have proliferated in the literature. These use the same equations, but are often written in a way that hides the underlying ...Show More
In this article, an algorithm for determining RRS coordinates on the basis of Extended Kalman Filter with the processing of Time of Arrival (ToA) type measurements is proposed. The feature of the proposed algorithm is to determine the radio radiation source (RRS) time of transmission (ToT) in the MLAT system time scale and its filtration using priori information about the period of transmission. I...Show More
In this paper we propose the development and implementation of software tools, based on metaheuristic and deterministic optimization techniques, for the automated calculation of Dilution Of Precision (DOP) in the design procedures for Mode-S Multilateration (MLAT) systems. Techniques like the well established Genetic Algorithm (GA) and Local Search (LS) are used to implement the tool. Simulations ...Show More
Localization is one of the major problems in mobile wireless sensor networks, since it provides the location of an event occurrence. This paper evaluates the performance of range-based localization algorithms: the multilateration algorithm, the weighted multilateration algorithm, the maximum likelihood algorithm and the multilateration algorithm with a correcting factor. We also propose the weight...Show More
Node localization plays a critical role in wireless sensor network (WSN). The ill-posed problem caused by measurement error in the localization brings down the localization precision. Based on the Landweber iteration principle, a new multilateral localization algorithm is proposed, which includes the optimal reference node number, the iteration index selecting, termination rules and the accelerate...Show More
MLAT (Multilateration) techniques have been successfully deployed for airport surveillance for quite some time now, it makes use of signals transmitted by an aircraft to calculate the position of aircraft. However, Multilateration techniques when applied in a wide area surveillance environment for aircraft target positioning, for the impact of Geometric Dilution of Precision (GDOP), the three-dime...Show More
Nowadays, many researchers pay much attention to aircraft tracking process of air traffic surveillance systems. Multilateration air traffic surveillance system is considered one of the hot spot areas for researchers. In this paper a Non-Bayesian single (multiple) aircrafts tracking algorithm is proposed taking into account the existence of clutter. The proposed algorithm deals with the geographic ...Show More
As one of the most significant technology in wireless sensor networks (WSN), localization has drawn much attention. In this paper, received signal strength (RSS) values are used as the indicator of the distance between blind node and reference nodes. The position of blind node is calculated via multilateration algorithm (MA). In order to improve the accuracy, Kalman filter (KF) is utilized to esti...Show More
Proposed in this paper is a wireless sensor network source localization algorithm in the three-dimensional space. By using the measurements of the received signal strength (RSS), two closed-form none-ambiguous estimators are proposed to geometrically locate the source position under the shadowing noise in the wireless channel. The dynamic adjustment scheme has been applied in the localization algo...Show More
Two new closed form localization algorithms for multilateration systems are derived and analyzed. The derivation neglects the time difference of arrival in favor of the direct use of the time of arrival (TOA). The algorithms work for arbitrary spatial dimensions and overdetermined systems. A strategy for quick rejection of obviously false time measurements based on coding theory is also proposed.Show More
Existing multilateration algorithms typically do not account for information that is previously known about the target’s position. This paper presents a method of using an a priori estimate of the target’s location and planar approximations of the spheres to determine the target’s position. This algorithm meets or exceeds the performance of traditional multilateration algorithms when the a priori ...Show More
The paper presents an algorithm for estimating the parameters of radio-emission source trajectories for multi-position passive radar complexes. The algorithm is based on a nonlinear approximation of a sample of observations on the time interval by the criterion of the minimum of the root-mean-square error of the state vector estimation. The peculiarity of the algorithm is more complete use of the ...Show More
Accurate and cost-effective localization is an important requirement for several sensor network applications. In this paper, we compare two localization methods-multilateration and Isomap and study some of the key issues that affect their performance. We also analyze the flip ambiguity problem and the effect of applying a robustness criterion in both the methods. Our simulation results show that t...Show More
The paper considers the process of developing an algorithm for positioning an object according to data from an active sensor network Bluetooth Low Energy beacons. To develop the algorithm, a laboratory bench was developed that includes Bluetooth Low Energy beacons, a debug board, a smartphone and a personal computer. The stand uses software developed by the authors. At the first stage, we consider...Show More
Localization is one of the challenges in achieving reliable communication in Wireless Sensor Networks (WSN). Estimating a sensor's node's position is known as Localization. Nonlinear version of Kalman filtering is known as the Extended Kalman Filter which deals with the case governed by the nonlinear stochastic differential equations, Extended kalman filter is nonlinear filter having their own pro...Show More
Wireless Sensor Network is used in some applications such as environmental monitoring, search and rescue missions, geographic routes and tracking. WSN can be a telemetry solution to ensure that the rescue communication system works properly and effectively. Although localization is not the primary purpose of the Wireless Sensor Network, sensory information is senseless when the location of the obs...Show More
The localization of devices or nodes using wireless sensor networks is a very interesting area among researchers compared to traditionally available localization methods. The process of localization is to find out the location or position coordinates of target nodes. In this paper, a comparative analysis is done to obtain the optimized results during the estimation of the target node’s location. T...Show More
Received RF signal strength provides a cost-effective mechanism for distance estimation that is popularly used in wireless sensor networks (WSN) range-based localization. However, such range estimates are heavily affected by shadowing that can be caused by obstructions of the line-of-sight radio frequency (RF) signal. Multilateration using several range estimates obtained from RSSI can lead to lar...Show More
Localization play a key role in location based services such as parking assistance, location dependent advertising, people tracking, security management, etc. Usually, mobile users are the driving force of those applications and the third dimension plays an important role on the functionality of the system. Accurate localization in three dimensional space requires fast and robust algorithms. The w...Show More
Sensor network-based fire detection systems have been gaining popularity with the rapid development of sensor technologies. In the early application of infrared flame sensors for fire detections, they are low cost and fast responding but indicate just the existence of a fire, not the exact location. This study proposes a novel fire detection and localization system using ESP32 microcontroller and ...Show More
Recently there has been much focus on Wireless sensor networks (WSN). However Location information is one of the most important information in WSN. Many location estimation algorithms for WSNs have been used to determine the sensor nodes position. In this paper, two different localization algorithms using Trilateration and Multilateration mathematical techniques have studied and compared according...Show More