Multi-Network Asynchronous TDOA Algorithm Test in a Simulated Maritime Scenario

Gioia, Ciro; Sermi, Francesco; Tarchi, D.

doi:10.3390/s20071842

Cited by 4 publications

(3 citation statements)

References 37 publications

(47 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The orientation angle estimated with the proposed system will correspond to the aircraft or watercraft's heading, which is impossible to measure by the radio method using only one node on the tracked object [33], unlike the course angle, which can be easily estimated from a sequence of position estimates from any positioning system. Future work may include checking the possibility of using the method of combining all TDOA measurements from unsynchronized network fragments in the proposed system, which was proposed in [34].…”

Section: Discussionmentioning

confidence: 99%

Position and Orientation Estimation in Radio Network With Groups of Locally Synchronized Nodes

Sadowski,

Stefanski

2023

IEEE Access

View full text Add to dashboard Cite

This article presents a positioning system with groups of locally synchronized nodes. A mobile object is equipped with a group of several synchronized receivers that are able to measure the difference in the time of arrival of signals from reference transmitters. The reference transmitters are synchronized only in local groups, with no global synchronization between groups. It is assumed that the synchronous operation of transmitters and receivers in groups does not allow for the phase-coherent emission and reception of signals, making beamforming and angle of arrival estimation impossible. The structure of the positioning system and the equations for estimating the position and orientation angle are presented, along with the Gauss-Newton algorithm for iteratively estimating the coordinates and orientation of the mobile object. The possible accuracy of the proposed solution is evaluated using dilution of precision and the Cramer-Rao lower bound. The analysis showed that although the quality of the position estimation in the proposed solution is highly dependent on the mutual location of the reference transmitters and the mobile object, the orientation angle can be estimated highly accurately, almost regardless of the mobile object location.

show abstract

Section: Discussionmentioning

confidence: 99%

Position and Orientation Estimation in Radio Network With Groups of Locally Synchronized Nodes

Sadowski,

Stefanski

2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The solution presented by Gioia, C. et al in [5] introduces a mathematical extension of the traditional Time Difference Of Arrival (TDOA) localization technique, allowing merging TDOA measurement from synchronous and non-synchronous Automatic Identification System (AIS) receivers. The presented technique, derived from satellite applications, was tested in a simulated scenario where the position of a moving target was estimated using different configurations of the receiver's network.…”

Section: Overview Of Contributionsmentioning

confidence: 99%

Sensors and System for Vehicle Navigation

Stateczny

Kazimierski

Burdziakowski

2022

Sensors

View full text Add to dashboard Cite

show abstract

“…The distance measurement algorithm calculates the distance between the known beacon node and the unknown node connected to it, utilizing their communication link parameters. The main categories of distance measurement algorithms are the angle of arrival (AOA) based-algorithm [ 15 , 16 ], time of arrival (TOA) based-algorithm, time difference of arrival (TDOA) based-algorithm [ 17 , 18 ] and the received signal strength indication (RSSI) based-algorithm [ 19 , 20 , 21 , 22 , 23 ]. In the previously mentioned algorithms, the TOA, TDOA, and AOA need to correctly determine the distance between the unknown target node and the specified beacon node by using a high-complexity algorithm that requires high energy consumption and additional hardware.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Indoor Positioning Technique Based on a Novel Received Signal Strength Indicator Distance Prediction and Correction Model

Amr

ElAttar

Azeem

et al. 2021

Sensors

View full text Add to dashboard Cite

Indoor positioning has become a very promising research topic due to the growing demand for accurate node location information for indoor environments. Nonetheless, current positioning algorithms typically present the issue of inaccurate positioning due to communication noise and interferences. In addition, most of the indoor positioning techniques require additional hardware equipment and complex algorithms to achieve high positioning accuracy. This leads to higher energy consumption and communication cost. Therefore, this paper proposes an enhanced indoor positioning technique based on a novel received signal strength indication (RSSI) distance prediction and correction model to improve the positioning accuracy of target nodes in indoor environments, with contributions including a new distance correction formula based on RSSI log-distance model, a correction factor (Beta) with a correction exponent (Sigma) for each distance between unknown node and beacon (anchor nodes) which are driven from the correction formula, and by utilizing the previous factors in the unknown node, enhanced centroid positioning algorithm is applied to calculate the final node positioning coordinates. Moreover, in this study, we used Bluetooth Low Energy (BLE) beacons to meet the principle of low energy consumption. The experimental results of the proposed enhanced centroid positioning algorithm have a significantly lower average localization error (ALE) than the currently existing algorithms. Also, the proposed technique achieves higher positioning stability than conventional methods. The proposed technique was experimentally tested for different received RSSI samples’ number to verify its feasibility in real-time. The proposed technique’s positioning accuracy is promoted by 80.97% and 67.51% at the office room and the corridor, respectively, compared with the conventional RSSI trilateration positioning technique. The proposed technique also improves localization stability by 1.64 and 2.3-fold at the office room and the corridor, respectively, compared to the traditional RSSI localization method. Finally, the proposed correction model is totally possible in real-time when the RSSI sample number is 50 or more.

show abstract

Multi-Network Asynchronous TDOA Algorithm Test in a Simulated Maritime Scenario

Cited by 4 publications

References 37 publications

Position and Orientation Estimation in Radio Network With Groups of Locally Synchronized Nodes

Position and Orientation Estimation in Radio Network With Groups of Locally Synchronized Nodes

Sensors and System for Vehicle Navigation

An Enhanced Indoor Positioning Technique Based on a Novel Received Signal Strength Indicator Distance Prediction and Correction Model

Contact Info

Product

Resources

About