Open AccessUnknown Location Determination using TDOA Computation with Convergence Points
Author(s) -
P Balakrishna,
M Divya Sree,
SD Nageena Parveen
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k2412.0981119
Subject(s) - multilateration , taylor series , convergence (economics) , position (finance) , series (stratigraphy) , nonlinear system , computation , computer science , algorithm , iterative method , mathematics , mathematical optimization , mathematical analysis , geometry , paleontology , physics , finance , quantum mechanics , azimuth , economics , biology , economic growth
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