Combination of Taylor and Chan method in mobile positioning

Due to increase in location based services, the need for efficient network based location methods has been made of paramount of importance. Among the mobile positioning techniques Time of Arrival (TOA) and Time Difference of Arrival (TDOA) arisen as promising techniques. In order to deal with such technology some theoretical approaches have been put forward to draw the estimation under the technological constraints. Among such approaches, one distinguish the Taylor based approximation and Chan´s based approach which provide an approximate solution of the underlying hyperbolic equations. This paper reviews the above approaches and suggests a linear combination of the two estimators that minimize the variance. Simulation platform has been developed to test and compare the performances of these estimators. The result of simulation and actual measurement indicated that the method has high positioning accuracy both in ideal environment and actual measurement.