Modelling and Analysis of Emitter Geolocation using Satellite Tool Kit

Keywords: Received signal strength, RSS, Emitter geolocation, Geostationary satellite, Satellite tool kit, Lines of position


This paper considers geolocation of a stationary radio frequency emitter which is being steered by multiple antennas installed on a geostationary satellite using received signal strength metric. The difference in the signal strengths is measured by the antennas and subsequently plotted as lines of position on the surface of the earth. Intersection of these two or more lines of position indicates the location of the terrestrial radio frequency transmitters. This problem is appropriately modelled using a satellite tool kit that simulates the space environment involving satellites, antennas, emitters, etc in a realistic and integrated manner. Accuracy and size of the geolocation area depend on the distance between emitters and the receiver and also on the contour widths geometry. Results of geolocation accuracy are compared by installing the radio frequency emitter at increasing latitudes and at varying contour widths. It is observed that the emitters placed at lower latitudes and having smaller contour widths provided higher accuracy in geolocation that validates the proposed formulation.


He, J.; Pahlavan, K.; Li, S. & Wang, Q. A testbed for evaluation of the effects of multipath on performance of TOA-based indoor geolocation. IEEE Trans. Instr. Measurement, 2013, 62(8), 2237-2247.

Fan, E.; Xie, W.; Liu, Z. & Li, P.F. Range-only target localisation using geometrically constrained optimisation. Def. Sci. J., 2015, 65(1), 70.

Aziz, M.R.K.; Karimah, S.N.; Yoshio, N.; Anwar, K. & Matsumoto, T. Achieving accurate geo-location detection using joint RSS-DOA factor graph technique. In IEEE 10th International Conference on Telecommunication Systems Services and Applications, 2016.

Zhao, J.; Li, L. & Gong, Y. Joint navigation and synchronization in LEO dual-satellite geolocation systems. In IEEE 85th Vehicular Technology Conference, 2017.

Picard, J.S & Weiss A.J. Theoretical facts on RSSI based geolocation. In Proceedings of IEEE 27th Convention of Electrical and Electronics Engineers, Israel, Eilat, 2012, pp. 1-5.

Wang, S. & Inkol, R. A near- optimal least squares solutions to received signal strength difference based geolocation. In IEEE International Conference on Acoustics, speech and signal processing ICASSP, Prague Congress Center, Prague, Czech Republic, 2011, 05, 2600-2603.

Juang, R. & Lin, H. Hybrid SADOA/TDOA mobile positioning for cellular networks. IET Communications, 2007, 1, 282-287.

Gemayel EL, N.; Jakel, H. & Jondral, F.K. A Hybrid/RSSD geolocation system (VTC Fall). Las Vegas, NV, USA; 2013, 1-5.

Ureten, S. Yongacoglu, A. & Petrik, E. A reduced complexity iterative grid search for RSS based emitter geolocation. In 27th Biennial Symposium on communications QBSC, Kingston, ON, Canada, 2014, 149-152.

Whiting, Samuel. Radio-frequency transmitter geolocation using non-ideal received signal strength indicators Utah State University, All Graduate Theses and Dissertations, 7038, 2018 (MS Thesis).

Yang, H.; Li, H. & Wu, Q. An integrating unicast and multicast solution by extending content delivery network to satellite. In IEEE 14th International Wireless Communications & Mobile Computing Conference, 2018.

Ying, J.; Pahlavan, K. & Li, X. Precision of RSS-based indoor geolocation in IoT applications. In IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, 2017.

Shen, Z.; Li, J. & Wu, Q. Data-driven interference localization using a single satellite based on received signal strength. IEEE Trans. Veh. Technol., 2020.

Ture, M. & Hatipoglu, A. Indoor location finding of the transmitter based on bluetooth received signal strength. IEEE ISNCC, 2019, 1-5.

Jung, S.; Im, C.; Eom, C. & Lee, C. A Localization method with Insufficient RSS samples using neural network. IEEE ICAIIC, 2020, 272-275.

Whiting, S.; Moon, T.K. & Gunther, J.H. Geolocation from received signal strength. In IEEE 52nd Asilomar Conference on Signals, Systems, and Computers, 2018.

Satellite Tool Kit: (Accessed on 8 July 2019).

How to Cite
Agrawal, S., Sharma, A., Bhatnagar, C., & Chauhan, D. (2020). Modelling and Analysis of Emitter Geolocation using Satellite Tool Kit. Defence Science Journal, 70(4), 440-447.
Electronics & Communication Systems