Tracking a Maneuvering Target using AUV
P. Dhatri Shree1, M. Ajay Kumar2, M. Sai Charan3, S. Koteswara Rao4, Kausar Jahan5
1P. Dhatri Shree, B. Tech Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, A.P, India.
2M. Ajay Kumar, B. Tech Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, A.P, India.
3M. Sai Charan, B. Tech Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, A.P, India.
4S. Koteswara Rao, Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, A.P, India.
5Kausar Jahan*, Research Scholar, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, A.P, India.
Manuscript received on November 25, 2019. | Revised Manuscript received on December 08, 2019. | Manuscript published on December 30, 2019. | PP: 292-296 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B3026129219/2019©BEIESP | DOI: 10.35940/ijeat.B3026.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper effort is made to track a maneuvering target using Unmanned Aerial Vehicles (UAV) with range, bearing and elevation measurements. Extended Kalman filter is preferred to processmeasurements tampered with noise. Algorithm to detect the maneuver of target is developed in this paper. This information about range, bearing and elevation is communicated to weapon guidance station by means of personal communication system between UAV and weapon guidance station. Mathematical modeling in detail and simulation results is presented.
Keywords: Estimation, Extended Kalman Filter, Maneuvering Target Motion Analysis, Three-Dimensional tracking, Unmanned aerial vehicle.