Unknown Location Determination using TDOA Computation with Convergence Points
P Balakrishna1, M Divya Sree2, SD Nageena Parveen3

1P Balakrishna, Dept of ECE, Vignan’s Nirula Inst of Tech and Sci for women, Guntur, India.
2M Divya Sree, Dept of ECE, Vignan’s Nirula Inst of Tech and Sci for women, Guntur, India.
3SD Nageena Parveen, Research Scholar, Department of ECE, Acharya Nagarjuna University, Guntur, India.

Manuscript received on 27 August 2019. | Revised Manuscript received on 10 September 2019. | Manuscript published on 30 September 2019. | PP: 2862-2867 | Volume-8 Issue-11, September 2019. | Retrieval Number: K24120981119/2019©BEIESP | DOI: 10.35940/ijitee.K2412.0981119
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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: Real time location/unknown target position is important in Electronic Warfare (EW) system. To find the location the hyperbolic multilateration method is used. Many algorithms are available to solve nonlinear hyperbolic equations. The techniques which are mostly used for solving and determining non-linear measurements are the Taylor Series method and Ezzat’s approach. Taylor series approach computes the position fix in an iterative fashion where as Ezzat’s solution gives a direct solution. In this paper to solve the non-linear measurements which are in the hyperbolic form we used two types of techniques. These two techniques are implemented on different receiver/ sensors distributions ex. square, triangle etc. In this paper we explores the optimal value for different receiver combinations and also we compares the convergence issues, relative performance for all combinations and in three dimensions. Finally we determined the standard deviation for every case and compared it for better optimal solution.
Keywords: Multilateration, Optimal distribution, Receivers, TDOA.
Scope of the Article: Exact and Parameterized Computation