Abstract
The three-dimensional geolocation of a radio frequency RF emitting source is commonly determined using two RF sensors. Most researchers work on one of three emitter-sensors motion platforms. These are: (a) stationary sensors - stationary emitter, (b) moving sensors - stationary emitter, (c) stationary sensors - moving emitter. The present work aims to investigate a fourth scenario of moving RF sensors and emitter to determine the emitter location. A proposed algorithm is designed to deal with this case as well as the three formal ones. We consider the straight line and maneuvering motions of the emitter and sensors. The presented algorithm uses a hybrid situation of angle of arrival (AOA) and time of arrival (TOA) of the emitter RF signal to estimate the 3D moving emitter geolocation. We test the algorithm for long and short distances and it is found be reliable. The algorithm is also tested for different values of AOAs, and TOAs with different standard deviations. Compared with the previous works, relatively small resulting emitter position error has been detected. A MATLAB programming environment is utilized to build up the algorithm.
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Rahouma, K.H., Mostafa, A.S.A. (2020). 3D Geolocation Approach for Moving RF Emitting Source Using Two Moving RF Sensors. In: Hassanien, A., Azar, A., Gaber, T., Bhatnagar, R., F. Tolba, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019). AMLTA 2019. Advances in Intelligent Systems and Computing, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-030-14118-9_73
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DOI: https://doi.org/10.1007/978-3-030-14118-9_73
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