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Abstract
Target motion analysis (TMA) using conventional passive bearing together with frequency measurements is explored. This approach offers one tactical advantage over the classical bearings-only TMA. It makes the ownship maneuver superfluous. In this paper, TMA is carried out using an unscented Kalman filter (UKF). The inclusion of range, course, and speed parameterization is proposed in the UKF target state vector to obtain the convergence of the solution fast. Finally the results of one scenario in Monte-Carlo simulation are presented.
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Notes on contributors
S. Koteswara Rao
S. Koteswara Rao is working as Scientist ‘G’ at NSTL, Vizag. He received B. Tech in ‘77 at JNTU and ME in 1979, PSG college of tech, Coimbatore, both in Electrical Engg. He is currently pursuing his Ph.D. As Scientist in NSTL, he is developing Fire Control Systems for Ship, Submarines and Torpedoes. He published several papers in IEEE/IEE International Conferences & Journals in the field of signal processing. He guided several M. Tech students for their project work in the field of Statistical Signal Processing. He is a fellow member of IETE. E-mail: [email protected]