Enhancing the Performance of Localization System for Radio Frequency Transmitters Based on DOA and Triangulation algorithms
How to Cite?
Ali Najim Abdullah, Laith Ali Abdul-Rahaim, "Enhancing the Performance of Localization System for Radio Frequency Transmitters Based on DOA and Triangulation algorithms," International Journal of Engineering Trends and Technology, vol. 69, no. 8, pp. 26-35, 2021. Crossref, https://doi.org/10.14445/22315381/IJETT-V69I8P204
In wireless communication channels, many challenges oblige the presence of radio monitoring systems, such as the Direction Finding (DF) system and localization system of Radio Frequency (RF) transmitters. These systems identify the directions and distances depend on the set of algorithms to determine the actual transmitter position. Therefore, it has critical applications such as communication security and military applications. It consists of a central processor connecting to a network of passive sensors called the DF nodes distributed in the scanning area. The main principle of DF and localization systems are based on estimation techniques at each DF node, which senses the distances and directions with specific instructions to perform DF and localization functions. This paper presents a high-resolution DF and localization system simulation, which can effectively monitor the signals being emitted by the RF transmitters and calculate the number of targets. This simulation consists of the implementation of DF algorithms in each DF node, which is connected to other nodes in single-source environments with fixed target positions, and then applies a triangulation algorithm to obtain the RF transmitter location. The simulation results were performed for many cases to enhance the accuracy of DF and localization systems. The results show UCA-Root- MUSIC has robust estimation that can be obtained with a sufficiently small error.
MVDR, ROOT-MUSIC, ROOT-WSF.
 S. Kristiyana, A. Susanto., The Radio Frequency Source Position Finder Based on The Triangle-Centroid-Algorithm, IJITEE, 1(1) (2017).
 Will Tidd, Raymond J. Weber, Yufei Zhao., An RF Source Localization and Tracking System, IEEE, The Military Communications Conference, (2010) 858~863.
 Ali Najim Abdullah., Laith Ali Abdul-Rahaim., Comparative Study of Super- Performance DOA Algorithms based for RF Source Direction Finding and Tracking, Technology Reports of Kansai University, 63(2) (2021).
 Geoffrey Ottoy, Lieven De Strycker., An Improved 2D Triangulation Algorithm for Use with Linear Arrays, IEEE Sensors Journal Special Issue on Sensors and Interfaces for Mobile Healthcare, (2016).
 Btissam Boustani, Abdennaceur Baghdad.., Performance analysis of the direction of arrival algorithms for smart antenna, International Journal of Electrical and Computer Engineering (IJECE), 9(6) (2019) 4873-4881.
 Schmidt R.O., Multiple emitter location, and signal parameter estimation, IEEE Trans. Antennas Propag, (1986).
 Peng Wu., Time Difference of Arrival (TDoA) Localization Combining Weighted Least Squares and Firefly Algorithm, MDPI, Sensors Journal, (2019).
 Xiong H., Antenna array geometries and algorithms for the direction of arrival estimation, MRes thesis, University of Nottingham, (2013).
 Ayad M. H. Khalel.., Position Location Techniques in Wireless Communication Systems, Blekinge Institute of Technology, Karlskrona, Sweden, (2010).
 Mateusz Malanowski., Algorithm for Target Tracking Using Passive Radar, INTL Journal Of Electronics And Telecommunications, 58(4) (2012) 345–350.
 Christine Evers, Heinrich Mellmann, and Patrick A. Naylor., The LOCATA Challenge: Acoustic Source Localization and Tracking, arXiv: 1909.01008v3 [eess.AS], (2020).
 Tibisay Sánchez, Cristina Gomez, Radio direction finding system for spectrum management activities in developing countries, IEEE International Symposium on Antennas and Propagation (APSURSI), ISSN: 1947-1491, (2016).
 Redondo, A.D.; Sanchez, T.; Gomez, C.; Betancur, L.; Hincapie, R.C., MIMO SDR-based implementation of AoA algorithms for Radio Direction Finding in spectrum sensing activities, in Communications and Computing (COLCOM), IEEE Colombian Conference on, (2015)1-4, 13-15.
 MATLAB., The MathWorks, Direction of Arrival Estimation with Beamscan, MVDR, and MUSIC, Inc, Natick, United States.
 Sharareh Kiania, Amir Mansour Pezeshka., A Comparative Study of Several Array Geometries for 2D DOA Estimation, Second International Symposium on Computer Vision and the Internet, (2015).
 Khallaayoun A., High-Resolution Direction of Arrival Estimation Analysis and Implementation in a Smart Antenna System, Doctor of Philosophy dissertation, Montana State University, (2010).
 M. Sunita Vijay, Prof. Dr. Bombale U.L., An Overview Of Smart Antenna And A Survey On Direction Of Arrival Estimation Algorithms For Smart Antenna, Journal of Electronics and Communication Engineering (IOSR-JECE), (2014).
 Manikas A., Alexiou A.and Karimi H., Comparison of the Ultimate Direction-finding Capabilities of a Number of Planar Array Geometries, IEE Proc. Radar, Sonar, Navig., 144(6) (1997) 321-329.
 Maohui X., New method of the effective array for the 2-D direction of arrival estimation, Int. J. Innov. Comput. Inf. Control, 2 (2006) 1391– 1397.
 K. A. Kumbar., Adaptive Beamforming Smart Antenna for Wireless Communication System, International Research Journal of Engineering and Technology (IRJET), 2 (2015).
 M. U. Shahid, et al., Comparative analysis between the direction of arrival algorithms, International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS), Dubai, (2017) 451-454.
 C.A.Balanis, Antenna Theory Analysis, and Design, Wiley Pvt.Ltd, (2005).
 Vishal Garg, Mukul Jhamb., A Review of Wireless Sensor Network on Localization Techniques, International Journal of Engineering Trends and Technology (IJETT), 4 (2013).
 Somnath Patra, Nisha Nandni, Abhishek Kumar Pandey, Sujeet Kumar., Study the Behavioral Change in Adaptive Beamforming of Smart Antenna Array Using LMS and RLS Algorithms, International Journal of Engineering Trends and Technology (IJETT), 7 (2014).
 Bindu Bothra, Apurba Rani Panda, Subhasis Pradhan,Md. Ashfaque Hussain, Dillip Dash, Low RCS Target Detection: A Review, International Journal of Engineering Trends and Technology (IJETT), 45 (2017).
 Ganesh Madhan M. Susaritha, U.S. Raghupathi, R. and Ashita priya Thomas., RSSI based location estimation in a WiFi environment: an experimental study. ICTACT Journal of Communication Technology 5(4) (2014) 1015-1018.
 P. Agrawal M. Shandilya., MATLAB Simulation of Subspace based High-Resolution Direction of Arrival Estimation Algorithm International Journal of Computer Applications, 130(15) (2015).
 L. Osman, Imen Sfar Ali Gharsallah Comparative Study of High- Resolution Direction-of-Arrival Estimation Algorithms for Array Antenna System, International Journal of Research and Reviews in Wireless Communications (IJRRWC), 2(1) (2012).
 Edno Gentilho Jr Paulo Rog´erio Scalassara Direction-of-Arrival Estimation Methods: A Performance-Complexity Tradeoff Perspective arXiv:2002.01588v1,[eess.SP], (2020).
 Zahraa jaafer Salman Goli., Performance Analysis of Beam scan, MIN-NORM, Music and Mvdr DOA Estimation Algorithms International Conference on Engineering Technologies and their Applications (ICETA), (2018).
 T. B. Lavate, V. K. Kokate A. M. Sapkal., Performance Analysis of MUSIC and ESPRIT DOA Estimation Algorithms for Adaptive Array Smart Antenna in Mobile Communication, International Journal of Computer Networks (IJCN) 2.
 B. Boustani Performance analysis of Direction Of Arrival estimation under hard condition 4th International Conference on Optimization and Applications (ICOA) Mohammedia, (2018) 1-5.
 Y. Khmou, et al. Comparative Study between Several Directions of Arrival Estimation Methods, Journal of Telecommunications and Information Technology National Institute of Telecommunications Warsaw, 1 (2014) 41-48.
 Viberg M. et al. Detection and estimation in sensor arrays using weighted subspace fitting IEEE Trans. Signal Process, 39 (1991) 2436- 2449.